how to write abstract of term paper

Writing an Abstract for Your Research Paper

Definition and Purpose of Abstracts

An abstract is a short summary of your (published or unpublished) research paper, usually about a paragraph (c. 6-7 sentences, 150-250 words) long. A well-written abstract serves multiple purposes:

• an abstract lets readers get the gist or essence of your paper or article quickly, in order to decide whether to read the full paper;
• an abstract prepares readers to follow the detailed information, analyses, and arguments in your full paper;
• and, later, an abstract helps readers remember key points from your paper.

It’s also worth remembering that search engines and bibliographic databases use abstracts, as well as the title, to identify key terms for indexing your published paper. So what you include in your abstract and in your title are crucial for helping other researchers find your paper or article.

If you are writing an abstract for a course paper, your professor may give you specific guidelines for what to include and how to organize your abstract. Similarly, academic journals often have specific requirements for abstracts. So in addition to following the advice on this page, you should be sure to look for and follow any guidelines from the course or journal you’re writing for.

The Contents of an Abstract

Abstracts contain most of the following kinds of information in brief form. The body of your paper will, of course, develop and explain these ideas much more fully. As you will see in the samples below, the proportion of your abstract that you devote to each kind of information—and the sequence of that information—will vary, depending on the nature and genre of the paper that you are summarizing in your abstract. And in some cases, some of this information is implied, rather than stated explicitly. The Publication Manual of the American Psychological Association , which is widely used in the social sciences, gives specific guidelines for what to include in the abstract for different kinds of papers—for empirical studies, literature reviews or meta-analyses, theoretical papers, methodological papers, and case studies.

Here are the typical kinds of information found in most abstracts:

• the context or background information for your research; the general topic under study; the specific topic of your research
• the central questions or statement of the problem your research addresses
• what’s already known about this question, what previous research has done or shown
• the main reason(s) , the exigency, the rationale , the goals for your research—Why is it important to address these questions? Are you, for example, examining a new topic? Why is that topic worth examining? Are you filling a gap in previous research? Applying new methods to take a fresh look at existing ideas or data? Resolving a dispute within the literature in your field? . . .
• your research and/or analytical methods
• your main findings , results , or arguments
• the significance or implications of your findings or arguments.

Your abstract should be intelligible on its own, without a reader’s having to read your entire paper. And in an abstract, you usually do not cite references—most of your abstract will describe what you have studied in your research and what you have found and what you argue in your paper. In the body of your paper, you will cite the specific literature that informs your research.

When to Write Your Abstract

Although you might be tempted to write your abstract first because it will appear as the very first part of your paper, it’s a good idea to wait to write your abstract until after you’ve drafted your full paper, so that you know what you’re summarizing.

What follows are some sample abstracts in published papers or articles, all written by faculty at UW-Madison who come from a variety of disciplines. We have annotated these samples to help you see the work that these authors are doing within their abstracts.

Choosing Verb Tenses within Your Abstract

The social science sample (Sample 1) below uses the present tense to describe general facts and interpretations that have been and are currently true, including the prevailing explanation for the social phenomenon under study. That abstract also uses the present tense to describe the methods, the findings, the arguments, and the implications of the findings from their new research study. The authors use the past tense to describe previous research.

The humanities sample (Sample 2) below uses the past tense to describe completed events in the past (the texts created in the pulp fiction industry in the 1970s and 80s) and uses the present tense to describe what is happening in those texts, to explain the significance or meaning of those texts, and to describe the arguments presented in the article.

The science samples (Samples 3 and 4) below use the past tense to describe what previous research studies have done and the research the authors have conducted, the methods they have followed, and what they have found. In their rationale or justification for their research (what remains to be done), they use the present tense. They also use the present tense to introduce their study (in Sample 3, “Here we report . . .”) and to explain the significance of their study (In Sample 3, This reprogramming . . . “provides a scalable cell source for. . .”).

Sample Abstract 1

From the social sciences.

Reporting new findings about the reasons for increasing economic homogamy among spouses

Gonalons-Pons, Pilar, and Christine R. Schwartz. “Trends in Economic Homogamy: Changes in Assortative Mating or the Division of Labor in Marriage?” Demography , vol. 54, no. 3, 2017, pp. 985-1005.

Sample Abstract 2

From the humanities.

Analyzing underground pulp fiction publications in Tanzania, this article makes an argument about the cultural significance of those publications

Emily Callaci. “Street Textuality: Socialism, Masculinity, and Urban Belonging in Tanzania’s Pulp Fiction Publishing Industry, 1975-1985.” Comparative Studies in Society and History , vol. 59, no. 1, 2017, pp. 183-210.

Sample Abstract/Summary 3

From the sciences.

Reporting a new method for reprogramming adult mouse fibroblasts into induced cardiac progenitor cells

Lalit, Pratik A., Max R. Salick, Daryl O. Nelson, Jayne M. Squirrell, Christina M. Shafer, Neel G. Patel, Imaan Saeed, Eric G. Schmuck, Yogananda S. Markandeya, Rachel Wong, Martin R. Lea, Kevin W. Eliceiri, Timothy A. Hacker, Wendy C. Crone, Michael Kyba, Daniel J. Garry, Ron Stewart, James A. Thomson, Karen M. Downs, Gary E. Lyons, and Timothy J. Kamp. “Lineage Reprogramming of Fibroblasts into Proliferative Induced Cardiac Progenitor Cells by Defined Factors.” Cell Stem Cell , vol. 18, 2016, pp. 354-367.

Sample Abstract 4, a Structured Abstract

Reporting results about the effectiveness of antibiotic therapy in managing acute bacterial sinusitis, from a rigorously controlled study

Note: This journal requires authors to organize their abstract into four specific sections, with strict word limits. Because the headings for this structured abstract are self-explanatory, we have chosen not to add annotations to this sample abstract.

Wald, Ellen R., David Nash, and Jens Eickhoff. “Effectiveness of Amoxicillin/Clavulanate Potassium in the Treatment of Acute Bacterial Sinusitis in Children.” Pediatrics , vol. 124, no. 1, 2009, pp. 9-15.

“OBJECTIVE: The role of antibiotic therapy in managing acute bacterial sinusitis (ABS) in children is controversial. The purpose of this study was to determine the effectiveness of high-dose amoxicillin/potassium clavulanate in the treatment of children diagnosed with ABS.

METHODS : This was a randomized, double-blind, placebo-controlled study. Children 1 to 10 years of age with a clinical presentation compatible with ABS were eligible for participation. Patients were stratified according to age (<6 or ≥6 years) and clinical severity and randomly assigned to receive either amoxicillin (90 mg/kg) with potassium clavulanate (6.4 mg/kg) or placebo. A symptom survey was performed on days 0, 1, 2, 3, 5, 7, 10, 20, and 30. Patients were examined on day 14. Children’s conditions were rated as cured, improved, or failed according to scoring rules.

RESULTS: Two thousand one hundred thirty-five children with respiratory complaints were screened for enrollment; 139 (6.5%) had ABS. Fifty-eight patients were enrolled, and 56 were randomly assigned. The mean age was 6630 months. Fifty (89%) patients presented with persistent symptoms, and 6 (11%) presented with nonpersistent symptoms. In 24 (43%) children, the illness was classified as mild, whereas in the remaining 32 (57%) children it was severe. Of the 28 children who received the antibiotic, 14 (50%) were cured, 4 (14%) were improved, 4(14%) experienced treatment failure, and 6 (21%) withdrew. Of the 28children who received placebo, 4 (14%) were cured, 5 (18%) improved, and 19 (68%) experienced treatment failure. Children receiving the antibiotic were more likely to be cured (50% vs 14%) and less likely to have treatment failure (14% vs 68%) than children receiving the placebo.

CONCLUSIONS : ABS is a common complication of viral upper respiratory infections. Amoxicillin/potassium clavulanate results in significantly more cures and fewer failures than placebo, according to parental report of time to resolution.” (9)

Some Excellent Advice about Writing Abstracts for Basic Science Research Papers, by Professor Adriano Aguzzi from the Institute of Neuropathology at the University of Zurich:

Academic and Professional Writing

This is an accordion element with a series of buttons that open and close related content panels.

Analysis Papers

Reading Poetry

A Short Guide to Close Reading for Literary Analysis

Using Literary Quotations

Play Reviews

Writing a Rhetorical Précis to Analyze Nonfiction Texts

Incorporating Interview Data

Grant Proposals

Planning and Writing a Grant Proposal: The Basics

Additional Resources for Grants and Proposal Writing

Job Materials and Application Essays

Writing Personal Statements for Ph.D. Programs

• Before you begin: useful tips for writing your essay
• Guided brainstorming exercises
• Get more help with your essay
• Frequently Asked Questions

Resume Writing Tips

CV Writing Tips

Cover Letters

Business Letters

Proposals and Dissertations

Resources for Proposal Writers

Resources for Dissertators

Research Papers

Planning and Writing Research Papers

Quoting and Paraphrasing

Writing Annotated Bibliographies

Creating Poster Presentations

Thank-You Notes

Advice for Students Writing Thank-You Notes to Donors

Reading for a Review

Critical Reviews

Writing a Review of Literature

Scientific Reports

Scientific Report Format

Sample Lab Assignment

Writing for the Web

Writing an Effective Blog Post

Writing for Social Media: A Guide for Academics

• Resources Home 🏠
• Try SciSpace Copilot
• Search research papers
• Add Copilot Extension
• Try AI Detector
• Try Paraphraser
• Try Citation Generator
• April Papers
• June Papers
• July Papers

Abstract Writing: A Step-by-Step Guide With Tips & Examples

Table of Contents

Introduction

Abstracts of research papers have always played an essential role in describing your research concisely and clearly to researchers and editors of journals, enticing them to continue reading. However, with the widespread availability of scientific databases, the need to write a convincing abstract is more crucial now than during the time of paper-bound manuscripts.

Abstracts serve to "sell" your research and can be compared with your "executive outline" of a resume or, rather, a formal summary of the critical aspects of your work. Also, it can be the "gist" of your study. Since most educational research is done online, it's a sign that you have a shorter time for impressing your readers, and have more competition from other abstracts that are available to be read.

The APCI (Academic Publishing and Conferences International) articulates 12 issues or points considered during the final approval process for conferences & journals and emphasises the importance of writing an abstract that checks all these boxes (12 points). Since it's the only opportunity you have to captivate your readers, you must invest time and effort in creating an abstract that accurately reflects the critical points of your research.

With that in mind, let’s head over to understand and discover the core concept and guidelines to create a substantial abstract. Also, learn how to organise the ideas or plots into an effective abstract that will be awe-inspiring to the readers you want to reach.

What is Abstract? Definition and Overview

The word "Abstract' is derived from Latin abstractus meaning "drawn off." This etymological meaning also applies to art movements as well as music, like abstract expressionism. In this context, it refers to the revealing of the artist's intention.

Based on this, you can determine the meaning of an abstract: A condensed research summary. It must be self-contained and independent of the body of the research. However, it should outline the subject, the strategies used to study the problem, and the methods implemented to attain the outcomes. The specific elements of the study differ based on the area of study; however, together, it must be a succinct summary of the entire research paper.

Abstracts are typically written at the end of the paper, even though it serves as a prologue. In general, the abstract must be in a position to:

• Describe the paper.
• Identify the problem or the issue at hand.
• Explain to the reader the research process, the results you came up with, and what conclusion you've reached using these results.
• Include keywords to guide your strategy and the content.

Furthermore, the abstract you submit should not reflect upon any of  the following elements:

• Examine, analyse or defend the paper or your opinion.
• What you want to study, achieve or discover.
• Be redundant or irrelevant.

After reading an abstract, your audience should understand the reason - what the research was about in the first place, what the study has revealed and how it can be utilised or can be used to benefit others. You can understand the importance of abstract by knowing the fact that the abstract is the most frequently read portion of any research paper. In simpler terms, it should contain all the main points of the research paper.

What is the Purpose of an Abstract?

Abstracts are typically an essential requirement for research papers; however, it's not an obligation to preserve traditional reasons without any purpose. Abstracts allow readers to scan the text to determine whether it is relevant to their research or studies. The abstract allows other researchers to decide if your research paper can provide them with some additional information. A good abstract paves the interest of the audience to pore through your entire paper to find the content or context they're searching for.

Abstract writing is essential for indexing, as well. The Digital Repository of academic papers makes use of abstracts to index the entire content of academic research papers. Like meta descriptions in the regular Google outcomes, abstracts must include keywords that help researchers locate what they seek.

Types of Abstract

Informative and Descriptive are two kinds of abstracts often used in scientific writing.

A descriptive abstract gives readers an outline of the author's main points in their study. The reader can determine if they want to stick to the research work, based on their interest in the topic. An abstract that is descriptive is similar to the contents table of books, however, the format of an abstract depicts complete sentences encapsulated in one paragraph. It is unfortunate that the abstract can't be used as a substitute for reading a piece of writing because it's just an overview, which omits readers from getting an entire view. Also, it cannot be a way to fill in the gaps the reader may have after reading this kind of abstract since it does not contain crucial information needed to evaluate the article.

To conclude, a descriptive abstract is:

• A simple summary of the task, just summarises the work, but some researchers think it is much more of an outline
• Typically, the length is approximately 100 words. It is too short when compared to an informative abstract.
• A brief explanation but doesn't provide the reader with the complete information they need;
• An overview that omits conclusions and results

An informative abstract is a comprehensive outline of the research. There are times when people rely on the abstract as an information source. And the reason is why it is crucial to provide entire data of particular research. A well-written, informative abstract could be a good substitute for the remainder of the paper on its own.

A well-written abstract typically follows a particular style. The author begins by providing the identifying information, backed by citations and other identifiers of the papers. Then, the major elements are summarised to make the reader aware of the study. It is followed by the methodology and all-important findings from the study. The conclusion then presents study results and ends the abstract with a comprehensive summary.

In a nutshell, an informative abstract:

• Has a length that can vary, based on the subject, but is not longer than 300 words.
• Contains all the content-like methods and intentions
• Offers evidence and possible recommendations.

Informative Abstracts are more frequent than descriptive abstracts because of their extensive content and linkage to the topic specifically. You should select different types of abstracts to papers based on their length: informative abstracts for extended and more complex abstracts and descriptive ones for simpler and shorter research papers.

What are the Characteristics of a Good Abstract?

• A good abstract clearly defines the goals and purposes of the study.
• It should clearly describe the research methodology with a primary focus on data gathering, processing, and subsequent analysis.
• A good abstract should provide specific research findings.
• It presents the principal conclusions of the systematic study.
• It should be concise, clear, and relevant to the field of study.
• A well-designed abstract should be unifying and coherent.
• It is easy to grasp and free of technical jargon.
• It is written impartially and objectively.

What are the various sections of an ideal Abstract?

By now, you must have gained some concrete idea of the essential elements that your abstract needs to convey . Accordingly, the information is broken down into six key sections of the abstract, which include:

An Introduction or Background

Research methodology, objectives and goals, limitations.

Let's go over them in detail.

The introduction, also known as background, is the most concise part of your abstract. Ideally, it comprises a couple of sentences. Some researchers only write one sentence to introduce their abstract. The idea behind this is to guide readers through the key factors that led to your study.

It's understandable that this information might seem difficult to explain in a couple of sentences. For example, think about the following two questions like the background of your study:

• What is currently available about the subject with respect to the paper being discussed?
• What isn't understood about this issue? (This is the subject of your research)

While writing the abstract’s introduction, make sure that it is not lengthy. Because if it crosses the word limit, it may eat up the words meant to be used for providing other key information.

Research methodology is where you describe the theories and techniques you used in your research. It is recommended that you describe what you have done and the method you used to get your thorough investigation results. Certainly, it is the second-longest paragraph in the abstract.

In the research methodology section, it is essential to mention the kind of research you conducted; for instance, qualitative research or quantitative research (this will guide your research methodology too) . If you've conducted quantitative research, your abstract should contain information like the sample size, data collection method, sampling techniques, and duration of the study. Likewise, your abstract should reflect observational data, opinions, questionnaires (especially the non-numerical data) if you work on qualitative research.

The research objectives and goals speak about what you intend to accomplish with your research. The majority of research projects focus on the long-term effects of a project, and the goals focus on the immediate, short-term outcomes of the research. It is possible to summarise both in just multiple sentences.

In stating your objectives and goals, you give readers a picture of the scope of the study, its depth and the direction your research ultimately follows. Your readers can evaluate the results of your research against the goals and stated objectives to determine if you have achieved the goal of your research.

In the end, your readers are more attracted by the results you've obtained through your study. Therefore, you must take the time to explain each relevant result and explain how they impact your research. The results section exists as the longest in your abstract, and nothing should diminish its reach or quality.

One of the most important things you should adhere to is to spell out details and figures on the results of your research.

Instead of making a vague assertion such as, "We noticed that response rates varied greatly between respondents with high incomes and those with low incomes", Try these: "The response rate was higher for high-income respondents than those with lower incomes (59 30 percent vs. 30 percent in both cases; P<0.01)."

You're likely to encounter certain obstacles during your research. It could have been during data collection or even during conducting the sample . Whatever the issue, it's essential to inform your readers about them and their effects on the research.

Research limitations offer an opportunity to suggest further and deep research. If, for instance, you were forced to change for convenient sampling and snowball samples because of difficulties in reaching well-suited research participants, then you should mention this reason when you write your research abstract. In addition, a lack of prior studies on the subject could hinder your research.

Your conclusion should include the same number of sentences to wrap the abstract as the introduction. The majority of researchers offer an idea of the consequences of their research in this case.

Your conclusion should include three essential components:

• A significant take-home message.
• Corresponding important findings.
• The Interpretation.

Even though the conclusion of your abstract needs to be brief, it can have an enormous influence on the way that readers view your research. Therefore, make use of this section to reinforce the central message from your research. Be sure that your statements reflect the actual results and the methods you used to conduct your research.

Good Abstract Examples

Abstract example #1.

Children’s consumption behavior in response to food product placements in movies.

The abstract:

"Almost all research into the effects of brand placements on children has focused on the brand's attitudes or behavior intentions. Based on the significant differences between attitudes and behavioral intentions on one hand and actual behavior on the other hand, this study examines the impact of placements by brands on children's eating habits. Children aged 6-14 years old were shown an excerpt from the popular film Alvin and the Chipmunks and were shown places for the item Cheese Balls. Three different versions were developed with no placements, one with moderately frequent placements and the third with the highest frequency of placement. The results revealed that exposure to high-frequency places had a profound effect on snack consumption, however, there was no impact on consumer attitudes towards brands or products. The effects were not dependent on the age of the children. These findings are of major importance to researchers studying consumer behavior as well as nutrition experts as well as policy regulators."

Abstract Example #2

Social comparisons on social media: The impact of Facebook on young women’s body image concerns and mood. The abstract:

"The research conducted in this study investigated the effects of Facebook use on women's moods and body image if the effects are different from an internet-based fashion journal and if the appearance comparison tendencies moderate one or more of these effects. Participants who were female ( N = 112) were randomly allocated to spend 10 minutes exploring their Facebook account or a magazine's website or an appearance neutral control website prior to completing state assessments of body dissatisfaction, mood, and differences in appearance (weight-related and facial hair, face, and skin). Participants also completed a test of the tendency to compare appearances. The participants who used Facebook were reported to be more depressed than those who stayed on the control site. In addition, women who have the tendency to compare appearances reported more facial, hair and skin-related issues following Facebook exposure than when they were exposed to the control site. Due to its popularity it is imperative to conduct more research to understand the effect that Facebook affects the way people view themselves."

Abstract Example #3

The Relationship Between Cell Phone Use and Academic Performance in a Sample of U.S. College Students

"The cellphone is always present on campuses of colleges and is often utilised in situations in which learning takes place. The study examined the connection between the use of cell phones and the actual grades point average (GPA) after adjusting for predictors that are known to be a factor. In the end 536 students in the undergraduate program from 82 self-reported majors of an enormous, public institution were studied. Hierarchical analysis ( R 2 = .449) showed that use of mobile phones is significantly ( p < .001) and negative (b equal to -.164) connected to the actual college GPA, after taking into account factors such as demographics, self-efficacy in self-regulated learning, self-efficacy to improve academic performance, and the actual high school GPA that were all important predictors ( p < .05). Therefore, after adjusting for other known predictors increasing cell phone usage was associated with lower academic performance. While more research is required to determine the mechanisms behind these results, they suggest the need to educate teachers and students to the possible academic risks that are associated with high-frequency mobile phone usage."

Quick tips on writing a good abstract

There exists a common dilemma among early age researchers whether to write the abstract at first or last? However, it's recommended to compose your abstract when you've completed the research since you'll have all the information to give to your readers. You can, however, write a draft at the beginning of your research and add in any gaps later.

If you find abstract writing a herculean task, here are the few tips to help you with it:

1. Always develop a framework to support your abstract

Before writing, ensure you create a clear outline for your abstract. Divide it into sections and draw the primary and supporting elements in each one. You can include keywords and a few sentences that convey the essence of your message.

2. Review Other Abstracts

Abstracts are among the most frequently used research documents, and thousands of them were written in the past. Therefore, prior to writing yours, take a look at some examples from other abstracts. There are plenty of examples of abstracts for dissertations in the dissertation and thesis databases.

3. Avoid Jargon To the Maximum

When you write your abstract, focus on simplicity over formality. You should  write in simple language, and avoid excessive filler words or ambiguous sentences. Keep in mind that your abstract must be readable to those who aren't acquainted with your subject.

4. Focus on Your Research

It's a given fact that the abstract you write should be about your research and the findings you've made. It is not the right time to mention secondary and primary data sources unless it's absolutely required.

Conclusion: How to Structure an Interesting Abstract?

Abstracts are a short outline of your essay. However, it's among the most important, if not the most important. The process of writing an abstract is not straightforward. A few early-age researchers tend to begin by writing it, thinking they are doing it to "tease" the next step (the document itself). However, it is better to treat it as a spoiler.

The simple, concise style of the abstract lends itself to a well-written and well-investigated study. If your research paper doesn't provide definitive results, or the goal of your research is questioned, so will the abstract. Thus, only write your abstract after witnessing your findings and put your findings in the context of a larger scenario.

The process of writing an abstract can be daunting, but with these guidelines, you will succeed. The most efficient method of writing an excellent abstract is to centre the primary points of your abstract, including the research question and goals methods, as well as key results.

Interested in learning more about dedicated research solutions? Go to the SciSpace product page to find out how our suite of products can help you simplify your research workflows so you can focus on advancing science.

The best-in-class solution is equipped with features such as literature search and discovery, profile management, research writing and formatting, and so much more.

But before you go,

You might also like.

Consensus GPT vs. SciSpace GPT: Choose the Best GPT for Research

Literature Review and Theoretical Framework: Understanding the Differences

Types of Essays in Academic Writing - Quick Guide (2024)

• Features for Creative Writers
• Features for Work
• Features for Higher Education
• Features for Teachers
• Features for Non-Native Speakers
• Learn Blog Grammar Guide Community Events FAQ
• Grammar Guide

How to Write an Abstract (With Examples)

Sarah Oakley

Table of Contents

What is an abstract in a paper, how long should an abstract be, 5 steps for writing an abstract, examples of an abstract, how prowritingaid can help you write an abstract.

If you are writing a scientific research paper or a book proposal, you need to know how to write an abstract, which summarizes the contents of the paper or book.

When researchers are looking for peer-reviewed papers to use in their studies, the first place they will check is the abstract to see if it applies to their work. Therefore, your abstract is one of the most important parts of your entire paper.

In this article, we’ll explain what an abstract is, what it should include, and how to write one.

An abstract is a concise summary of the details within a report. Some abstracts give more details than others, but the main things you’ll be talking about are why you conducted the research, what you did, and what the results show.

When a reader is deciding whether to read your paper completely, they will first look at the abstract. You need to be concise in your abstract and give the reader the most important information so they can determine if they want to read the whole paper.

Remember that an abstract is the last thing you’ll want to write for the research paper because it directly references parts of the report. If you haven’t written the report, you won’t know what to include in your abstract.

If you are writing a paper for a journal or an assignment, the publication or academic institution might have specific formatting rules for how long your abstract should be. However, if they don’t, most abstracts are between 150 and 300 words long.

A short word count means your writing has to be precise and without filler words or phrases. Once you’ve written a first draft, you can always use an editing tool, such as ProWritingAid, to identify areas where you can reduce words and increase readability.

If your abstract is over the word limit, and you’ve edited it but still can’t figure out how to reduce it further, your abstract might include some things that aren’t needed. Here’s a list of three elements you can remove from your abstract:

Discussion : You don’t need to go into detail about the findings of your research because your reader will find your discussion within the paper.

Definition of terms : Your readers are interested the field you are writing about, so they are likely to understand the terms you are using. If not, they can always look them up. Your readers do not expect you to give a definition of terms in your abstract.

References and citations : You can mention there have been studies that support or have inspired your research, but you do not need to give details as the reader will find them in your bibliography.

Good writing = better grades

ProWritingAid will help you improve the style, strength, and clarity of all your assignments.

If you’ve never written an abstract before, and you’re wondering how to write an abstract, we’ve got some steps for you to follow. It’s best to start with planning your abstract, so we’ve outlined the details you need to include in your plan before you write.

Remember to consider your audience when you’re planning and writing your abstract. They are likely to skim read your abstract, so you want to be sure your abstract delivers all the information they’re expecting to see at key points.

1. What Should an Abstract Include?

Abstracts have a lot of information to cover in a short number of words, so it’s important to know what to include. There are three elements that need to be present in your abstract:

Your context is the background for where your research sits within your field of study. You should briefly mention any previous scientific papers or experiments that have led to your hypothesis and how research develops in those studies.

Your hypothesis is your prediction of what your study will show. As you are writing your abstract after you have conducted your research, you should still include your hypothesis in your abstract because it shows the motivation for your paper.

Throughout your abstract, you also need to include keywords and phrases that will help researchers to find your article in the databases they’re searching. Make sure the keywords are specific to your field of study and the subject you’re reporting on, otherwise your article might not reach the relevant audience.

2. Can You Use First Person in an Abstract?

You might think that first person is too informal for a research paper, but it’s not. Historically, writers of academic reports avoided writing in first person to uphold the formality standards of the time. However, first person is more accepted in research papers in modern times.

If you’re still unsure whether to write in first person for your abstract, refer to any style guide rules imposed by the journal you’re writing for or your teachers if you are writing an assignment.

3. Abstract Structure

Some scientific journals have strict rules on how to structure an abstract, so it’s best to check those first. If you don’t have any style rules to follow, try using the IMRaD structure, which stands for Introduction, Methodology, Results, and Discussion.

Following the IMRaD structure, start with an introduction. The amount of background information you should include depends on your specific research area. Adding a broad overview gives you less room to include other details. Remember to include your hypothesis in this section.

The next part of your abstract should cover your methodology. Try to include the following details if they apply to your study:

What type of research was conducted?

How were the test subjects sampled?

What were the sample sizes?

What was done to each group?

How long was the experiment?

How was data recorded and interpreted?

Following the methodology, include a sentence or two about the results, which is where your reader will determine if your research supports or contradicts their own investigations.

The results are also where most people will want to find out what your outcomes were, even if they are just mildly interested in your research area. You should be specific about all the details but as concise as possible.

The last few sentences are your conclusion. It needs to explain how your findings affect the context and whether your hypothesis was correct. Include the primary take-home message, additional findings of importance, and perspective. Also explain whether there is scope for further research into the subject of your report.

Your conclusion should be honest and give the reader the ultimate message that your research shows. Readers trust the conclusion, so make sure you’re not fabricating the results of your research. Some readers won’t read your entire paper, but this section will tell them if it’s worth them referencing it in their own study.

4. How to Start an Abstract

The first line of your abstract should give your reader the context of your report by providing background information. You can use this sentence to imply the motivation for your research.

You don’t need to use a hook phrase or device in your first sentence to grab the reader’s attention. Your reader will look to establish relevance quickly, so readability and clarity are more important than trying to persuade the reader to read on.

5. How to Format an Abstract

Most abstracts use the same formatting rules, which help the reader identify the abstract so they know where to look for it.

Here’s a list of formatting guidelines for writing an abstract:

Stick to one paragraph

Use block formatting with no indentation at the beginning

Put your abstract straight after the title and acknowledgements pages

Use present or past tense, not future tense

There are two primary types of abstract you could write for your paper—descriptive and informative.

An informative abstract is the most common, and they follow the structure mentioned previously. They are longer than descriptive abstracts because they cover more details.

Descriptive abstracts differ from informative abstracts, as they don’t include as much discussion or detail. The word count for a descriptive abstract is between 50 and 150 words.

Here is an example of an informative abstract:

A growing trend exists for authors to employ a more informal writing style that uses “we” in academic writing to acknowledge one’s stance and engagement. However, few studies have compared the ways in which the first-person pronoun “we” is used in the abstracts and conclusions of empirical papers. To address this lacuna in the literature, this study conducted a systematic corpus analysis of the use of “we” in the abstracts and conclusions of 400 articles collected from eight leading electrical and electronic (EE) engineering journals. The abstracts and conclusions were extracted to form two subcorpora, and an integrated framework was applied to analyze and seek to explain how we-clusters and we-collocations were employed. Results revealed whether authors’ use of first-person pronouns partially depends on a journal policy. The trend of using “we” showed that a yearly increase occurred in the frequency of “we” in EE journal papers, as well as the existence of three “we-use” types in the article conclusions and abstracts: exclusive, inclusive, and ambiguous. Other possible “we-use” alternatives such as “I” and other personal pronouns were used very rarely—if at all—in either section. These findings also suggest that the present tense was used more in article abstracts, but the present perfect tense was the most preferred tense in article conclusions. Both research and pedagogical implications are proffered and critically discussed.

Wang, S., Tseng, W.-T., & Johanson, R. (2021). To We or Not to We: Corpus-Based Research on First-Person Pronoun Use in Abstracts and Conclusions. SAGE Open, 11(2).

Here is an example of a descriptive abstract:

From the 1850s to the present, considerable criminological attention has focused on the development of theoretically-significant systems for classifying crime. This article reviews and attempts to evaluate a number of these efforts, and we conclude that further work on this basic task is needed. The latter part of the article explicates a conceptual foundation for a crime pattern classification system, and offers a preliminary taxonomy of crime.

Farr, K. A., & Gibbons, D. C. (1990). Observations on the Development of Crime Categories. International Journal of Offender Therapy and Comparative Criminology, 34(3), 223–237.

If you want to ensure your abstract is grammatically correct and easy to read, you can use ProWritingAid to edit it. The software integrates with Microsoft Word, Google Docs, and most web browsers, so you can make the most of it wherever you’re writing your paper.

Before you edit with ProWritingAid, make sure the suggestions you are seeing are relevant for your document by changing the document type to “Abstract” within the Academic writing style section.

You can use the Readability report to check your abstract for places to improve the clarity of your writing. Some suggestions might show you where to remove words, which is great if you’re over your word count.

We hope the five steps and examples we’ve provided help you write a great abstract for your research paper.

Get started with ProWritingAid

Drop us a line or let's stay in touch via :

What this handout is about

This handout provides definitions and examples of the two main types of abstracts: descriptive and informative. It also provides guidelines for constructing an abstract and general tips for you to keep in mind when drafting. Finally, it includes a few examples of abstracts broken down into their component parts.

What is an abstract?

An abstract is a self-contained, short, and powerful statement that describes a larger work. Components vary according to discipline. An abstract of a social science or scientific work may contain the scope, purpose, results, and contents of the work. An abstract of a humanities work may contain the thesis, background, and conclusion of the larger work. An abstract is not a review, nor does it evaluate the work being abstracted. While it contains key words found in the larger work, the abstract is an original document rather than an excerpted passage.

Why write an abstract?

You may write an abstract for various reasons. The two most important are selection and indexing. Abstracts allow readers who may be interested in a longer work to quickly decide whether it is worth their time to read it. Also, many online databases use abstracts to index larger works. Therefore, abstracts should contain keywords and phrases that allow for easy searching.

Say you are beginning a research project on how Brazilian newspapers helped Brazil’s ultra-liberal president Luiz Ignácio da Silva wrest power from the traditional, conservative power base. A good first place to start your research is to search Dissertation Abstracts International for all dissertations that deal with the interaction between newspapers and politics. “Newspapers and politics” returned 569 hits. A more selective search of “newspapers and Brazil” returned 22 hits. That is still a fair number of dissertations. Titles can sometimes help winnow the field, but many titles are not very descriptive. For example, one dissertation is titled “Rhetoric and Riot in Rio de Janeiro.” It is unclear from the title what this dissertation has to do with newspapers in Brazil. One option would be to download or order the entire dissertation on the chance that it might speak specifically to the topic. A better option is to read the abstract. In this case, the abstract reveals the main focus of the dissertation:

This dissertation examines the role of newspaper editors in the political turmoil and strife that characterized late First Empire Rio de Janeiro (1827-1831). Newspaper editors and their journals helped change the political culture of late First Empire Rio de Janeiro by involving the people in the discussion of state. This change in political culture is apparent in Emperor Pedro I’s gradual loss of control over the mechanisms of power. As the newspapers became more numerous and powerful, the Emperor lost his legitimacy in the eyes of the people. To explore the role of the newspapers in the political events of the late First Empire, this dissertation analyzes all available newspapers published in Rio de Janeiro from 1827 to 1831. Newspapers and their editors were leading forces in the effort to remove power from the hands of the ruling elite and place it under the control of the people. In the process, newspapers helped change how politics operated in the constitutional monarchy of Brazil.

From this abstract you now know that although the dissertation has nothing to do with modern Brazilian politics, it does cover the role of newspapers in changing traditional mechanisms of power. After reading the abstract, you can make an informed judgment about whether the dissertation would be worthwhile to read.

Besides selection, the other main purpose of the abstract is for indexing. Most article databases in the online catalog of the library enable you to search abstracts. This allows for quick retrieval by users and limits the extraneous items recalled by a “full-text” search. However, for an abstract to be useful in an online retrieval system, it must incorporate the key terms that a potential researcher would use to search. For example, if you search Dissertation Abstracts International using the keywords “France” “revolution” and “politics,” the search engine would search through all the abstracts in the database that included those three words. Without an abstract, the search engine would be forced to search titles, which, as we have seen, may not be fruitful, or else search the full text. It’s likely that a lot more than 60 dissertations have been written with those three words somewhere in the body of the entire work. By incorporating keywords into the abstract, the author emphasizes the central topics of the work and gives prospective readers enough information to make an informed judgment about the applicability of the work.

When do people write abstracts?

• when submitting articles to journals, especially online journals
• when applying for research grants
• when writing a book proposal
• when completing the Ph.D. dissertation or M.A. thesis
• when writing a proposal for a conference paper
• when writing a proposal for a book chapter

Most often, the author of the entire work (or prospective work) writes the abstract. However, there are professional abstracting services that hire writers to draft abstracts of other people’s work. In a work with multiple authors, the first author usually writes the abstract. Undergraduates are sometimes asked to draft abstracts of books/articles for classmates who have not read the larger work.

Types of abstracts

There are two types of abstracts: descriptive and informative. They have different aims, so as a consequence they have different components and styles. There is also a third type called critical, but it is rarely used. If you want to find out more about writing a critique or a review of a work, see the UNC Writing Center handout on writing a literature review . If you are unsure which type of abstract you should write, ask your instructor (if the abstract is for a class) or read other abstracts in your field or in the journal where you are submitting your article.

Descriptive abstracts

A descriptive abstract indicates the type of information found in the work. It makes no judgments about the work, nor does it provide results or conclusions of the research. It does incorporate key words found in the text and may include the purpose, methods, and scope of the research. Essentially, the descriptive abstract describes the work being abstracted. Some people consider it an outline of the work, rather than a summary. Descriptive abstracts are usually very short—100 words or less.

Informative abstracts

The majority of abstracts are informative. While they still do not critique or evaluate a work, they do more than describe it. A good informative abstract acts as a surrogate for the work itself. That is, the writer presents and explains all the main arguments and the important results and evidence in the complete article/paper/book. An informative abstract includes the information that can be found in a descriptive abstract (purpose, methods, scope) but also includes the results and conclusions of the research and the recommendations of the author. The length varies according to discipline, but an informative abstract is rarely more than 10% of the length of the entire work. In the case of a longer work, it may be much less.

Here are examples of a descriptive and an informative abstract of this handout on abstracts . Descriptive abstract:

The two most common abstract types—descriptive and informative—are described and examples of each are provided.

Informative abstract:

Abstracts present the essential elements of a longer work in a short and powerful statement. The purpose of an abstract is to provide prospective readers the opportunity to judge the relevance of the longer work to their projects. Abstracts also include the key terms found in the longer work and the purpose and methods of the research. Authors abstract various longer works, including book proposals, dissertations, and online journal articles. There are two main types of abstracts: descriptive and informative. A descriptive abstract briefly describes the longer work, while an informative abstract presents all the main arguments and important results. This handout provides examples of various types of abstracts and instructions on how to construct one.

Which type should I use?

Your best bet in this case is to ask your instructor or refer to the instructions provided by the publisher. You can also make a guess based on the length allowed; i.e., 100-120 words = descriptive; 250+ words = informative.

How do I write an abstract?

The format of your abstract will depend on the work being abstracted. An abstract of a scientific research paper will contain elements not found in an abstract of a literature article, and vice versa. However, all abstracts share several mandatory components, and there are also some optional parts that you can decide to include or not. When preparing to draft your abstract, keep the following key process elements in mind:

• Reason for writing: What is the importance of the research? Why would a reader be interested in the larger work?
• Problem: What problem does this work attempt to solve? What is the scope of the project? What is the main argument/thesis/claim?
• Methodology: An abstract of a scientific work may include specific models or approaches used in the larger study. Other abstracts may describe the types of evidence used in the research.
• Results: Again, an abstract of a scientific work may include specific data that indicates the results of the project. Other abstracts may discuss the findings in a more general way.
• Implications: What changes should be implemented as a result of the findings of the work? How does this work add to the body of knowledge on the topic?

(This list of elements is adapted with permission from Philip Koopman, “How to Write an Abstract.” )

All abstracts include:

• A full citation of the source, preceding the abstract.
• The most important information first.
• The same type and style of language found in the original, including technical language.
• Key words and phrases that quickly identify the content and focus of the work.
• Clear, concise, and powerful language.

Abstracts may include:

• The thesis of the work, usually in the first sentence.
• Background information that places the work in the larger body of literature.
• The same chronological structure as the original work.

How not to write an abstract:

• Do not refer extensively to other works.
• Do not add information not contained in the original work.
• Do not define terms.

If you are abstracting your own writing

When abstracting your own work, it may be difficult to condense a piece of writing that you have agonized over for weeks (or months, or even years) into a 250-word statement. There are some tricks that you could use to make it easier, however.

Reverse outlining:

This technique is commonly used when you are having trouble organizing your own writing. The process involves writing down the main idea of each paragraph on a separate piece of paper– see our short video . For the purposes of writing an abstract, try grouping the main ideas of each section of the paper into a single sentence. Practice grouping ideas using webbing or color coding .

For a scientific paper, you may have sections titled Purpose, Methods, Results, and Discussion. Each one of these sections will be longer than one paragraph, but each is grouped around a central idea. Use reverse outlining to discover the central idea in each section and then distill these ideas into one statement.

Cut and paste:

To create a first draft of an abstract of your own work, you can read through the entire paper and cut and paste sentences that capture key passages. This technique is useful for social science research with findings that cannot be encapsulated by neat numbers or concrete results. A well-written humanities draft will have a clear and direct thesis statement and informative topic sentences for paragraphs or sections. Isolate these sentences in a separate document and work on revising them into a unified paragraph.

If you are abstracting someone else’s writing

When abstracting something you have not written, you cannot summarize key ideas just by cutting and pasting. Instead, you must determine what a prospective reader would want to know about the work. There are a few techniques that will help you in this process:

Identify key terms:

Search through the entire document for key terms that identify the purpose, scope, and methods of the work. Pay close attention to the Introduction (or Purpose) and the Conclusion (or Discussion). These sections should contain all the main ideas and key terms in the paper. When writing the abstract, be sure to incorporate the key terms.

Highlight key phrases and sentences:

Instead of cutting and pasting the actual words, try highlighting sentences or phrases that appear to be central to the work. Then, in a separate document, rewrite the sentences and phrases in your own words.

Don’t look back:

After reading the entire work, put it aside and write a paragraph about the work without referring to it. In the first draft, you may not remember all the key terms or the results, but you will remember what the main point of the work was. Remember not to include any information you did not get from the work being abstracted.

Revise, revise, revise

No matter what type of abstract you are writing, or whether you are abstracting your own work or someone else’s, the most important step in writing an abstract is to revise early and often. When revising, delete all extraneous words and incorporate meaningful and powerful words. The idea is to be as clear and complete as possible in the shortest possible amount of space. The Word Count feature of Microsoft Word can help you keep track of how long your abstract is and help you hit your target length.

Example 1: Humanities abstract

Kenneth Tait Andrews, “‘Freedom is a constant struggle’: The dynamics and consequences of the Mississippi Civil Rights Movement, 1960-1984” Ph.D. State University of New York at Stony Brook, 1997 DAI-A 59/02, p. 620, Aug 1998

This dissertation examines the impacts of social movements through a multi-layered study of the Mississippi Civil Rights Movement from its peak in the early 1960s through the early 1980s. By examining this historically important case, I clarify the process by which movements transform social structures and the constraints movements face when they try to do so. The time period studied includes the expansion of voting rights and gains in black political power, the desegregation of public schools and the emergence of white-flight academies, and the rise and fall of federal anti-poverty programs. I use two major research strategies: (1) a quantitative analysis of county-level data and (2) three case studies. Data have been collected from archives, interviews, newspapers, and published reports. This dissertation challenges the argument that movements are inconsequential. Some view federal agencies, courts, political parties, or economic elites as the agents driving institutional change, but typically these groups acted in response to the leverage brought to bear by the civil rights movement. The Mississippi movement attempted to forge independent structures for sustaining challenges to local inequities and injustices. By propelling change in an array of local institutions, movement infrastructures had an enduring legacy in Mississippi.

Now let’s break down this abstract into its component parts to see how the author has distilled his entire dissertation into a ~200 word abstract.

What the dissertation does This dissertation examines the impacts of social movements through a multi-layered study of the Mississippi Civil Rights Movement from its peak in the early 1960s through the early 1980s. By examining this historically important case, I clarify the process by which movements transform social structures and the constraints movements face when they try to do so.

How the dissertation does it The time period studied in this dissertation includes the expansion of voting rights and gains in black political power, the desegregation of public schools and the emergence of white-flight academies, and the rise and fall of federal anti-poverty programs. I use two major research strategies: (1) a quantitative analysis of county-level data and (2) three case studies.

What materials are used Data have been collected from archives, interviews, newspapers, and published reports.

Conclusion This dissertation challenges the argument that movements are inconsequential. Some view federal agencies, courts, political parties, or economic elites as the agents driving institutional change, but typically these groups acted in response to movement demands and the leverage brought to bear by the civil rights movement. The Mississippi movement attempted to forge independent structures for sustaining challenges to local inequities and injustices. By propelling change in an array of local institutions, movement infrastructures had an enduring legacy in Mississippi.

Keywords social movements Civil Rights Movement Mississippi voting rights desegregation

Example 2: Science Abstract

Luis Lehner, “Gravitational radiation from black hole spacetimes” Ph.D. University of Pittsburgh, 1998 DAI-B 59/06, p. 2797, Dec 1998

The problem of detecting gravitational radiation is receiving considerable attention with the construction of new detectors in the United States, Europe, and Japan. The theoretical modeling of the wave forms that would be produced in particular systems will expedite the search for and analysis of detected signals. The characteristic formulation of GR is implemented to obtain an algorithm capable of evolving black holes in 3D asymptotically flat spacetimes. Using compactification techniques, future null infinity is included in the evolved region, which enables the unambiguous calculation of the radiation produced by some compact source. A module to calculate the waveforms is constructed and included in the evolution algorithm. This code is shown to be second-order convergent and to handle highly non-linear spacetimes. In particular, we have shown that the code can handle spacetimes whose radiation is equivalent to a galaxy converting its whole mass into gravitational radiation in one second. We further use the characteristic formulation to treat the region close to the singularity in black hole spacetimes. The code carefully excises a region surrounding the singularity and accurately evolves generic black hole spacetimes with apparently unlimited stability.

This science abstract covers much of the same ground as the humanities one, but it asks slightly different questions.

Why do this study The problem of detecting gravitational radiation is receiving considerable attention with the construction of new detectors in the United States, Europe, and Japan. The theoretical modeling of the wave forms that would be produced in particular systems will expedite the search and analysis of the detected signals.

What the study does The characteristic formulation of GR is implemented to obtain an algorithm capable of evolving black holes in 3D asymptotically flat spacetimes. Using compactification techniques, future null infinity is included in the evolved region, which enables the unambiguous calculation of the radiation produced by some compact source. A module to calculate the waveforms is constructed and included in the evolution algorithm.

Results This code is shown to be second-order convergent and to handle highly non-linear spacetimes. In particular, we have shown that the code can handle spacetimes whose radiation is equivalent to a galaxy converting its whole mass into gravitational radiation in one second. We further use the characteristic formulation to treat the region close to the singularity in black hole spacetimes. The code carefully excises a region surrounding the singularity and accurately evolves generic black hole spacetimes with apparently unlimited stability.

Keywords gravitational radiation (GR) spacetimes black holes

Works consulted

We consulted these works while writing this handout. This is not a comprehensive list of resources on the handout’s topic, and we encourage you to do your own research to find additional publications. Please do not use this list as a model for the format of your own reference list, as it may not match the citation style you are using. For guidance on formatting citations, please see the UNC Libraries citation tutorial . We revise these tips periodically and welcome feedback.

Belcher, Wendy Laura. 2009. Writing Your Journal Article in Twelve Weeks: A Guide to Academic Publishing Success. Thousand Oaks, CA: Sage Press.

Koopman, Philip. 1997. “How to Write an Abstract.” Carnegie Mellon University. October 1997. http://users.ece.cmu.edu/~koopman/essays/abstract.html .

Lancaster, F.W. 2003. Indexing And Abstracting in Theory and Practice , 3rd ed. London: Facet Publishing.

You may reproduce it for non-commercial use if you use the entire handout and attribute the source: The Writing Center, University of North Carolina at Chapel Hill

Make a Gift

• Privacy Policy

Buy Me a Coffee

Home » Research Paper Abstract – Writing Guide and Examples

Research Paper Abstract – Writing Guide and Examples

Table of Contents

Research Paper Abstract

Research Paper Abstract is a brief summary of a research pape r that describes the study’s purpose, methods, findings, and conclusions . It is often the first section of the paper that readers encounter, and its purpose is to provide a concise and accurate overview of the paper’s content. The typical length of an abstract is usually around 150-250 words, and it should be written in a concise and clear manner.

Research Paper Abstract Structure

The structure of a research paper abstract usually includes the following elements:

• Background or Introduction: Briefly describe the problem or research question that the study addresses.
• Methods : Explain the methodology used to conduct the study, including the participants, materials, and procedures.
• Results : Summarize the main findings of the study, including statistical analyses and key outcomes.
• Conclusions : Discuss the implications of the study’s findings and their significance for the field, as well as any limitations or future directions for research.
• Keywords : List a few keywords that describe the main topics or themes of the research.

How to Write Research Paper Abstract

Here are the steps to follow when writing a research paper abstract:

• Start by reading your paper: Before you write an abstract, you should have a complete understanding of your paper. Read through the paper carefully, making sure you understand the purpose, methods, results, and conclusions.
• Identify the key components : Identify the key components of your paper, such as the research question, methods used, results obtained, and conclusion reached.
• Write a draft: Write a draft of your abstract, using concise and clear language. Make sure to include all the important information, but keep it short and to the point. A good rule of thumb is to keep your abstract between 150-250 words.
• Use clear and concise language : Use clear and concise language to explain the purpose of your study, the methods used, the results obtained, and the conclusions drawn.
• Emphasize your findings: Emphasize your findings in the abstract, highlighting the key results and the significance of your study.
• Revise and edit: Once you have a draft, revise and edit it to ensure that it is clear, concise, and free from errors.
• Check the formatting: Finally, check the formatting of your abstract to make sure it meets the requirements of the journal or conference where you plan to submit it.

Research Paper Abstract Examples

Research Paper Abstract Examples could be following:

Title : “The Effectiveness of Cognitive-Behavioral Therapy for Treating Anxiety Disorders: A Meta-Analysis”

Abstract : This meta-analysis examines the effectiveness of cognitive-behavioral therapy (CBT) in treating anxiety disorders. Through the analysis of 20 randomized controlled trials, we found that CBT is a highly effective treatment for anxiety disorders, with large effect sizes across a range of anxiety disorders, including generalized anxiety disorder, panic disorder, and social anxiety disorder. Our findings support the use of CBT as a first-line treatment for anxiety disorders and highlight the importance of further research to identify the mechanisms underlying its effectiveness.

Title : “Exploring the Role of Parental Involvement in Children’s Education: A Qualitative Study”

Abstract : This qualitative study explores the role of parental involvement in children’s education. Through in-depth interviews with 20 parents of children in elementary school, we found that parental involvement takes many forms, including volunteering in the classroom, helping with homework, and communicating with teachers. We also found that parental involvement is influenced by a range of factors, including parent and child characteristics, school culture, and socio-economic status. Our findings suggest that schools and educators should prioritize building strong partnerships with parents to support children’s academic success.

Title : “The Impact of Exercise on Cognitive Function in Older Adults: A Systematic Review and Meta-Analysis”

Abstract : This paper presents a systematic review and meta-analysis of the existing literature on the impact of exercise on cognitive function in older adults. Through the analysis of 25 randomized controlled trials, we found that exercise is associated with significant improvements in cognitive function, particularly in the domains of executive function and attention. Our findings highlight the potential of exercise as a non-pharmacological intervention to support cognitive health in older adults.

When to Write Research Paper Abstract

The abstract of a research paper should typically be written after you have completed the main body of the paper. This is because the abstract is intended to provide a brief summary of the key points and findings of the research, and you can’t do that until you have completed the research and written about it in detail.

Once you have completed your research paper, you can begin writing your abstract. It is important to remember that the abstract should be a concise summary of your research paper, and should be written in a way that is easy to understand for readers who may not have expertise in your specific area of research.

Purpose of Research Paper Abstract

The purpose of a research paper abstract is to provide a concise summary of the key points and findings of a research paper. It is typically a brief paragraph or two that appears at the beginning of the paper, before the introduction, and is intended to give readers a quick overview of the paper’s content.

The abstract should include a brief statement of the research problem, the methods used to investigate the problem, the key results and findings, and the main conclusions and implications of the research. It should be written in a clear and concise manner, avoiding jargon and technical language, and should be understandable to a broad audience.

The abstract serves as a way to quickly and easily communicate the main points of a research paper to potential readers, such as academics, researchers, and students, who may be looking for information on a particular topic. It can also help researchers determine whether a paper is relevant to their own research interests and whether they should read the full paper.

About the author

Muhammad Hassan

Researcher, Academic Writer, Web developer

You may also like

How to Cite Research Paper – All Formats and...

Delimitations in Research – Types, Examples and...

Research Paper Format – Types, Examples and...

Research Design – Types, Methods and Examples

Research Paper Title – Writing Guide and Example

Research Paper Introduction – Writing Guide and...

• PRO Courses Guides New Tech Help Pro Expert Videos About wikiHow Pro Upgrade Sign In
• EDIT Edit this Article
• EXPLORE Tech Help Pro About Us Random Article Quizzes Request a New Article Community Dashboard This Or That Game Popular Categories Arts and Entertainment Artwork Books Movies Computers and Electronics Computers Phone Skills Technology Hacks Health Men's Health Mental Health Women's Health Relationships Dating Love Relationship Issues Hobbies and Crafts Crafts Drawing Games Education & Communication Communication Skills Personal Development Studying Personal Care and Style Fashion Hair Care Personal Hygiene Youth Personal Care School Stuff Dating All Categories Arts and Entertainment Finance and Business Home and Garden Relationship Quizzes Cars & Other Vehicles Food and Entertaining Personal Care and Style Sports and Fitness Computers and Electronics Health Pets and Animals Travel Education & Communication Hobbies and Crafts Philosophy and Religion Work World Family Life Holidays and Traditions Relationships Youth
• Browse Articles
• Learn Something New
• Quizzes Hot
• This Or That Game New
• Train Your Brain
• Explore More
• Support wikiHow
• About wikiHow
• Log in / Sign up
• Education and Communications
• College University and Postgraduate
• Academic Writing
• Research Papers

Everything You Need to Know to Write an A+ Term Paper

Last Updated: March 4, 2024 Fact Checked

Sample Term Papers

Researching & outlining.

• Drafting Your Paper
• Revising Your Paper

Expert Q&A

This article was co-authored by Matthew Snipp, PhD and by wikiHow staff writer, Raven Minyard, BA . C. Matthew Snipp is the Burnet C. and Mildred Finley Wohlford Professor of Humanities and Sciences in the Department of Sociology at Stanford University. He is also the Director for the Institute for Research in the Social Science’s Secure Data Center. He has been a Research Fellow at the U.S. Bureau of the Census and a Fellow at the Center for Advanced Study in the Behavioral Sciences. He has published 3 books and over 70 articles and book chapters on demography, economic development, poverty and unemployment. He is also currently serving on the National Institute of Child Health and Development’s Population Science Subcommittee. He holds a Ph.D. in Sociology from the University of Wisconsin—Madison. There are 13 references cited in this article, which can be found at the bottom of the page. This article has been fact-checked, ensuring the accuracy of any cited facts and confirming the authority of its sources. This article has been viewed 2,227,038 times.

A term paper is a written assignment given to students at the end of a course to gauge their understanding of the material. Term papers typically count for a good percentage of your overall grade, so of course, you’ll want to write the best paper possible. Luckily, we’ve got you covered. In this article, we’ll teach you everything you need to know to write an A+ term paper, from researching and outlining to drafting and revising.

Quick Steps to Write a Term Paper

• Hook your readers with an interesting and informative intro paragraph. State your thesis and your main points.
• Support your thesis by providing quotes and evidence that back your claim in your body paragraphs.
• Summarize your main points and leave your readers with a thought-provoking question in your conclusion.

• Think of your term paper as the bridge between what you’ve learned in class and how you apply that knowledge to real-world topics.
• For example, a history term paper may require you to explore the consequences of a significant historical event, like the Civil War. An environmental science class, on the other hand, may have you examine the effects of climate change on a certain region.
• Your guidelines should tell you the paper’s word count and formatting style, like whether to use in-text citations or footnotes and whether to use single- or double-spacing. If these things aren’t specified, be sure to reach out to your instructor.

• Make sure your topic isn’t too broad. For example, if you want to write about Shakespeare’s work, first narrow it down to a specific play, like Macbeth , then choose something even more specific like Lady Macbeth’s role in the plot.
• If the topic is already chosen for you, explore unique angles that can set your content and information apart from the more obvious approaches many others will probably take. [3] X Research source
• Try not to have a specific outcome in mind, as this will close you off to new ideas and avenues of thinking. Rather than trying to mold your research to fit your desired outcome, allow the outcome to reflect a genuine analysis of the discoveries you made. Ask yourself questions throughout the process and be open to having your beliefs challenged.
• Reading other people's comments, opinions, and entries on a topic can often help you to refine your own, especially where they comment that "further research" is required or where they posit challenging questions but leave them unanswered.

• For example, if you’re writing a term paper about Macbeth , your primary source would be the play itself. Then, look for other research papers and analyses written by academics and scholars to understand how they interpret the text.

• For example, if you’re writing a paper about Lady Macbeth, your thesis could be something like “Shakespeare’s characterization of Lady Macbeth reveals how desire for power can control someone’s life.”
• Remember, your research and thesis development doesn’t stop here. As you continue working through both the research and writing, you may want to make changes that align with the ideas forming in your mind and the discoveries you continue to unearth.
• On the other hand, don’t keep looking for new ideas and angles for fear of feeling confined. At some point, you’re going to have to say enough is enough and make your point. You may have other opportunities to explore these questions in future studies, but for now, remember your term paper has a finite word length and an approaching due date!

• Abstract: An abstract is a concise summary of your paper that informs readers of your topic, its significance, and the key points you’ll explore. It must stand on its own and make sense without referencing outside sources or your actual paper.
• Introduction: The introduction establishes the main idea of your paper and directly states the thesis. Begin your introduction with an attention-grabbing sentence to intrigue your readers, and provide any necessary background information to establish your paper’s purpose and direction.
• Body paragraphs: Each body paragraph focuses on a different argument supporting your thesis. List specific evidence from your sources to back up your arguments. Provide detailed information about your topic to enhance your readers’ understanding. In your outline, write down the main ideas for each body paragraph and any outstanding questions or points you’re not yet sure about.
• Results: Depending on the type of term paper you’re writing, your results may be incorporated into your body paragraphs or conclusion. These are the insights that your research led you to. Here you can discuss how your perspective and understanding of your topic shifted throughout your writing process.
• Conclusion: Your conclusion summarizes your argument and findings. You may restate your thesis and major points as you wrap up your paper.

Drafting Your Term Paper

• Writing an introduction can be challenging, but don’t get too caught up on it. As you write the rest of your paper, your arguments might change and develop, so you’ll likely need to rewrite your intro at the end, anyway. Writing your intro is simply a means of getting started and you can always revise it later. [10] X Trustworthy Source PubMed Central Journal archive from the U.S. National Institutes of Health Go to source
• Be sure to define any words your readers might not understand. For example, words like “globalization” have many different meanings depending on context, and it’s important to state which ones you’ll be using as part of your introductory paragraph.

• Try to relate the subject of the essay (say, Plato’s Symposium ) to a tangentially related issue you happen to know something about (say, the growing trend of free-wheeling hookups in frat parties). Slowly bring the paragraph around to your actual subject and make a few generalizations about why this aspect of the book/subject is so fascinating and worthy of study (such as how different the expectations for physical intimacy were then compared to now).

• You can also reflect on your own experience of researching and writing your term paper. Discuss how your understanding of your topic evolved and any unexpected findings you came across.

• While peppering quotes throughout your text is a good way to help make your point, don’t overdo it. If you use too many quotes, you’re basically allowing other authors to make the point and write the paper for you. When you do use a quote, be sure to explain why it is relevant in your own words.
• Try to sort out your bibliography at the beginning of your writing process to avoid having a last-minute scramble. When you have all the information beforehand (like the source’s title, author, publication date, etc.), it’s easier to plug them into the correct format.

Revising & Finalizing Your Term Paper

• Trade in weak “to-be” verbs for stronger “action” verbs. For example: “I was writing my term paper” becomes “I wrote my term paper.”

• It’s extremely important to proofread your term paper. If your writing is full of mistakes, your instructor will assume you didn’t put much effort into your paper. If you have too many errors, your message will be lost in the confusion of trying to understand what you’ve written.

• If you add or change information to make things clearer for your readers, it’s a good idea to look over your paper one more time to catch any new typos that may have come up in the process.

• The best essays are like grass court tennis—the argument should flow in a "rally" style, building persuasively to the conclusion. Thanks Helpful 0 Not Helpful 0
• If you get stuck, consider giving your professor a visit. Whether you're still struggling for a thesis or you want to go over your conclusion, most instructors are delighted to help and they'll remember your initiative when grading time rolls around. Thanks Helpful 0 Not Helpful 0
• At least 2 hours for 3-5 pages.
• At least 4 hours for 8-10 pages.
• At least 6 hours for 12-15 pages.
• Double those hours if you haven't done any homework and you haven't attended class.
• For papers that are primarily research-based, add about two hours to those times (although you'll need to know how to research quickly and effectively, beyond the purview of this brief guide).

You Might Also Like

• ↑ https://www.binghamton.edu/counseling/self-help/term-paper.html
• ↑ Matthew Snipp, PhD. Research Fellow, U.S. Bureau of the Census. Expert Interview. 26 March 2020.
• ↑ https://emory.libanswers.com/faq/44525
• ↑ https://writing.wisc.edu/handbook/assignments/planresearchpaper/
• ↑ https://owl.purdue.edu/owl/general_writing/the_writing_process/thesis_statement_tips.html
• ↑ https://libguides.usc.edu/writingguide/outline
• ↑ https://gallaudet.edu/student-success/tutorial-center/english-center/writing/guide-to-writing-introductions-and-conclusions/
• ↑ https://www.ncbi.nlm.nih.gov/pubmed/26731827
• ↑ https://writing.wisc.edu/handbook/assignments/writing-an-abstract-for-your-research-paper/
• ↑ https://www.ivcc.edu/stylesite/Essay_Title.pdf
• ↑ https://www.uni-flensburg.de/fileadmin/content/institute/anglistik/dokumente/downloads/how-to-write-a-term-paper-daewes.pdf
• ↑ https://library.sacredheart.edu/c.php?g=29803&p=185937
• ↑ https://www.cornerstone.edu/blog-post/six-steps-to-really-edit-your-paper/

About This Article

If you need to write a term paper, choose your topic, then start researching that topic. Use your research to craft a thesis statement which states the main idea of your paper, then organize all of your facts into an outline that supports your thesis. Once you start writing, state your thesis in the first paragraph, then use the body of the paper to present the points that support your argument. End the paper with a strong conclusion that restates your thesis. For tips on improving your term paper through active voice, read on! Did this summary help you? Yes No

• Send fan mail to authors

Reader Success Stories

Bill McReynolds

Apr 7, 2017

Did this article help you?

Gerard Mortera

Mar 30, 2016

Ayuba Muhammad Bello

Dec 28, 2016

Mar 24, 2016

Jera Andarino

May 11, 2016

Featured Articles

Trending Articles

Watch Articles

• Terms of Use
• Privacy Policy
• Do Not Sell or Share My Info
• Not Selling Info

wikiHow Tech Help Pro:

Develop the tech skills you need for work and life

• USC Libraries
• Research Guides

Organizing Your Social Sciences Research Paper

• 3. The Abstract
• Purpose of Guide
• Design Flaws to Avoid
• Independent and Dependent Variables
• Glossary of Research Terms
• Reading Research Effectively
• Narrowing a Topic Idea
• Broadening a Topic Idea
• Extending the Timeliness of a Topic Idea
• Academic Writing Style
• Choosing a Title
• Making an Outline
• Paragraph Development
• Research Process Video Series
• Executive Summary
• The C.A.R.S. Model
• Background Information
• The Research Problem/Question
• Theoretical Framework
• Citation Tracking
• Content Alert Services
• Evaluating Sources
• Primary Sources
• Secondary Sources
• Tiertiary Sources
• Scholarly vs. Popular Publications
• Qualitative Methods
• Quantitative Methods
• Insiderness
• Using Non-Textual Elements
• Limitations of the Study
• Common Grammar Mistakes
• Writing Concisely
• Avoiding Plagiarism
• Footnotes or Endnotes?
• Further Readings
• Generative AI and Writing
• USC Libraries Tutorials and Other Guides
• Bibliography

An abstract summarizes, usually in one paragraph of 300 words or less, the major aspects of the entire paper in a prescribed sequence that includes: 1) the overall purpose of the study and the research problem(s) you investigated; 2) the basic design of the study; 3) major findings or trends found as a result of your analysis; and, 4) a brief summary of your interpretations and conclusions.

Writing an Abstract. The Writing Center. Clarion University, 2009; Writing an Abstract for Your Research Paper. The Writing Center, University of Wisconsin, Madison; Koltay, Tibor. Abstracts and Abstracting: A Genre and Set of Skills for the Twenty-first Century . Oxford, UK: Chandos Publishing, 2010;

Importance of a Good Abstract

Sometimes your professor will ask you to include an abstract, or general summary of your work, with your research paper. The abstract allows you to elaborate upon each major aspect of the paper and helps readers decide whether they want to read the rest of the paper. Therefore, enough key information [e.g., summary results, observations, trends, etc.] must be included to make the abstract useful to someone who may want to examine your work.

How do you know when you have enough information in your abstract? A simple rule-of-thumb is to imagine that you are another researcher doing a similar study. Then ask yourself: if your abstract was the only part of the paper you could access, would you be happy with the amount of information presented there? Does it tell the whole story about your study? If the answer is "no" then the abstract likely needs to be revised.

Farkas, David K. “A Scheme for Understanding and Writing Summaries.” Technical Communication 67 (August 2020): 45-60;  How to Write a Research Abstract. Office of Undergraduate Research. University of Kentucky; Staiger, David L. “What Today’s Students Need to Know about Writing Abstracts.” International Journal of Business Communication January 3 (1966): 29-33; Swales, John M. and Christine B. Feak. Abstracts and the Writing of Abstracts . Ann Arbor, MI: University of Michigan Press, 2009.

Structure and Writing Style

I.  Types of Abstracts

To begin, you need to determine which type of abstract you should include with your paper. There are four general types.

Critical Abstract A critical abstract provides, in addition to describing main findings and information, a judgment or comment about the study’s validity, reliability, or completeness. The researcher evaluates the paper and often compares it with other works on the same subject. Critical abstracts are generally 400-500 words in length due to the additional interpretive commentary. These types of abstracts are used infrequently.

Descriptive Abstract A descriptive abstract indicates the type of information found in the work. It makes no judgments about the work, nor does it provide results or conclusions of the research. It does incorporate key words found in the text and may include the purpose, methods, and scope of the research. Essentially, the descriptive abstract only describes the work being summarized. Some researchers consider it an outline of the work, rather than a summary. Descriptive abstracts are usually very short, 100 words or less. Informative Abstract The majority of abstracts are informative. While they still do not critique or evaluate a work, they do more than describe it. A good informative abstract acts as a surrogate for the work itself. That is, the researcher presents and explains all the main arguments and the important results and evidence in the paper. An informative abstract includes the information that can be found in a descriptive abstract [purpose, methods, scope] but it also includes the results and conclusions of the research and the recommendations of the author. The length varies according to discipline, but an informative abstract is usually no more than 300 words in length.

Highlight Abstract A highlight abstract is specifically written to attract the reader’s attention to the study. No pretense is made of there being either a balanced or complete picture of the paper and, in fact, incomplete and leading remarks may be used to spark the reader’s interest. In that a highlight abstract cannot stand independent of its associated article, it is not a true abstract and, therefore, rarely used in academic writing.

II.  Writing Style

Use the active voice when possible , but note that much of your abstract may require passive sentence constructions. Regardless, write your abstract using concise, but complete, sentences. Get to the point quickly and always use the past tense because you are reporting on a study that has been completed.

Abstracts should be formatted as a single paragraph in a block format and with no paragraph indentations. In most cases, the abstract page immediately follows the title page. Do not number the page. Rules set forth in writing manual vary but, in general, you should center the word "Abstract" at the top of the page with double spacing between the heading and the abstract. The final sentences of an abstract concisely summarize your study’s conclusions, implications, or applications to practice and, if appropriate, can be followed by a statement about the need for additional research revealed from the findings.

Composing Your Abstract

Although it is the first section of your paper, the abstract should be written last since it will summarize the contents of your entire paper. A good strategy to begin composing your abstract is to take whole sentences or key phrases from each section of the paper and put them in a sequence that summarizes the contents. Then revise or add connecting phrases or words to make the narrative flow clearly and smoothly. Note that statistical findings should be reported parenthetically [i.e., written in parentheses].

Before handing in your final paper, check to make sure that the information in the abstract completely agrees with what you have written in the paper. Think of the abstract as a sequential set of complete sentences describing the most crucial information using the fewest necessary words. The abstract SHOULD NOT contain:

• A catchy introductory phrase, provocative quote, or other device to grab the reader's attention,
• Lengthy background or contextual information,
• Redundant phrases, unnecessary adverbs and adjectives, and repetitive information;
• Acronyms or abbreviations,
• References to other literature [say something like, "current research shows that..." or "studies have indicated..."],
• Using ellipticals [i.e., ending with "..."] or incomplete sentences,
• Jargon or terms that may be confusing to the reader,
• Citations to other works, and
• Any sort of image, illustration, figure, or table, or references to them.

Abstract. Writing Center. University of Kansas; Abstract. The Structure, Format, Content, and Style of a Journal-Style Scientific Paper. Department of Biology. Bates College; Abstracts. The Writing Center. University of North Carolina; Borko, Harold and Seymour Chatman. "Criteria for Acceptable Abstracts: A Survey of Abstracters' Instructions." American Documentation 14 (April 1963): 149-160; Abstracts. The Writer’s Handbook. Writing Center. University of Wisconsin, Madison; Hartley, James and Lucy Betts. "Common Weaknesses in Traditional Abstracts in the Social Sciences." Journal of the American Society for Information Science and Technology 60 (October 2009): 2010-2018; Koltay, Tibor. Abstracts and Abstracting: A Genre and Set of Skills for the Twenty-first Century. Oxford, UK: Chandos Publishing, 2010; Procter, Margaret. The Abstract. University College Writing Centre. University of Toronto; Riordan, Laura. “Mastering the Art of Abstracts.” The Journal of the American Osteopathic Association 115 (January 2015 ): 41-47; Writing Report Abstracts. The Writing Lab and The OWL. Purdue University; Writing Abstracts. Writing Tutorial Services, Center for Innovative Teaching and Learning. Indiana University; Koltay, Tibor. Abstracts and Abstracting: A Genre and Set of Skills for the Twenty-First Century . Oxford, UK: 2010; Writing an Abstract for Your Research Paper. The Writing Center, University of Wisconsin, Madison.

Writing Tip

Never Cite Just the Abstract!

Citing to just a journal article's abstract does not confirm for the reader that you have conducted a thorough or reliable review of the literature. If the full-text is not available, go to the USC Libraries main page and enter the title of the article [NOT the title of the journal]. If the Libraries have a subscription to the journal, the article should appear with a link to the full-text or to the journal publisher page where you can get the article. If the article does not appear, try searching Google Scholar using the link on the USC Libraries main page. If you still can't find the article after doing this, contact a librarian or you can request it from our free i nterlibrary loan and document delivery service .

• << Previous: Research Process Video Series
• Next: Executive Summary >>
• Last Updated: Apr 3, 2024 10:04 AM
• URL: https://libguides.usc.edu/writingguide

• Bipolar Disorder
• Therapy Center
• When To See a Therapist
• Types of Therapy
• Best Online Therapy
• Best Couples Therapy
• Best Family Therapy
• Managing Stress
• Sleep and Dreaming
• Understanding Emotions
• Self-Improvement
• Healthy Relationships
• Student Resources
• Personality Types
• Guided Meditations
• Verywell Mind Insights
• 2023 Verywell Mind 25
• Mental Health in the Classroom
• Editorial Process
• Meet Our Review Board
• Crisis Support

How to Write an APA Abstract

Kendra Cherry, MS, is a psychosocial rehabilitation specialist, psychology educator, and author of the "Everything Psychology Book."

Emily is a board-certified science editor who has worked with top digital publishing brands like Voices for Biodiversity, Study.com, GoodTherapy, Vox, and Verywell.

Verywell / Nusha Ashjaee 

• Writing Your Abstract
• How to Use Keywords

An APA abstract is a concise but comprehensive summary of a scientific paper. It is typically a paragraph long, or about 150 to 250 words. The goal of the abstract is to provide the reader with a brief and accurate idea of what a paper is about.

The APA abstract should appear on a separate page immediately after the title page and before the main content of your paper. While professional papers that appear in scientific journals and other publications require an APA abstract, they may not be required for student papers. However, you should always check with your instructor for specific requirements.

What Is APA Format?

APA format is the official style of the American Psychological Association. It is used in writing for psychology and other social sciences. These style guidelines specify different aspects of a document's presentation and layout, including how pages are structured, how references are organized, and how sources are cited.

This article explains how to create an abstract in APA format for your psychology papers or other types of scientific writing. It covers the basic rules you should follow as well as specific guidelines for writing abstracts for experimental reports, literature reviews, and other articles.

What Is an Abstract in APA Format?

In addition to providing guidance for the general style and organization of a paper, APA format also stipulates using an abstract designed to briefly summarize the key details in a paper.

While it is sometimes overlooked or only an afterthought, an abstract is an integral part of any academic or professional paper. The abstract is a critical component of an APA-formatted paper. This brief overview summarizes what your paper contains. It should succinctly and accurately represent what your paper is about and what the reader can expect to find.

Following a few simple guidelines, you can create an abstract following the format. Done well, an abstract generates interest in your work and helps readers learn if the paper will interest them.

APA Format Abstract Basics

The abstract is the second page of a lab report or APA-format paper and should immediately follow the title page . Think of an abstract as a highly condensed summary of your entire paper.

The purpose of your abstract is to provide a brief yet thorough overview of your paper. It should function much like your title page—it should allow the person reading it to quickly determine what your paper is all about. Your abstract is the first thing that most people will read, and it is usually what informs their decision to read the rest of your paper.

The abstract is the single most important paragraph in your entire paper, according to the APA Publication Manual. A good abstract lets the reader know that your paper is worth reading.

According to the official guidelines of the American Psychological Association, an abstract should be brief but packed with information. Each sentence must be written with maximum impact in mind. To keep your abstract short, focus on including just four or five of the essential points, concepts, or findings.

An abstract must also be objective and accurate. The abstract's purpose is to report rather than provide commentary. It should accurately reflect what your paper is about. Only include information that is also included in the body of your paper.

Key Elements of an APA Abstract

Your abstract page should include:

• A running head , which is a shortened version of your title that appears in all caps at the top left of each page of your paper
• A section label , which should be the word "Abstract" centered and bolded at the top of the page
• A page number , which should be the second page of your paper (the title page should be page 1)
• A double-spaced paragraph of about 150 to 250 words
• An indented list of keywords related to your paper's content. Include the label "Keywords:" in italics and list three to five keywords that are separated by commas

How to Write an Abstract in APA Format

Before you write your abstract, you first need to write your paper in its entirety. In order to write a good abstract, you need to have a finished draft of your paper so you can summarize it accurately.

While the abstract will be at the beginning of your paper, it should be the last section you write.

Once you have completed the final draft of your psychology paper , use it as a guide for writing your abstract.

• Begin your abstract on a new page . Place your running head and page number 2 in the top right-hand corner. Center the word "Abstract" at the top of the page.
• Know your target word count . An abstract should be between 150 and 250 words. Exact word counts vary from journal to journal . If you are writing your paper for a psychology course, your professor may have specific word requirements, so be sure to ask. The abstract should be written as only one paragraph with no indentation.
• Structure the abstract in the same order as your paper . Begin with a brief summary of the introduction , and then continue on with a summary of the method , results , and discussion sections of your paper.
• Look at other abstracts in professional journals for examples of how to summarize your paper . Notice the main points that the authors chose to mention in the abstract. Use these examples as a guide when choosing the main ideas in your own paper.
• Write a rough draft of your abstract . Use the format required for your type of paper (see next sections). While you should aim for brevity, be careful not to make your summary too short. Try to write one to two sentences summarizing each section of your paper. Once you have a rough draft, you can edit for length and clarity.
• Ask a friend to read over the abstract . Sometimes, having someone look at your abstract with fresh eyes can provide perspective and help you spot possible typos and other errors.

The abstract is vital to your paper, so it should not be overlooked or treated as an afterthought. Spend time writing this section carefully to ensure maximum readability and clarity.

It is important to remember that while the abstract is the last thing you write, it is often the most read part of your paper.

Experimental Report Abstracts

The format of your abstract also depends on the type of paper you are writing. For example, an abstract summarizing an experimental paper will differ from that of a meta-analysis or case study . For an experimental report, your abstract should:

• Identify the problem . In many cases, you should begin by stating the question you sought to investigate and your hypothesis .
• Describe the participants in the study . State how many participants took part and how they were selected. For example: "In this study, 215 undergraduate student participants were randomly assigned to [the experimental condition] or [the control condition]."
• Describe the study method . For example, identify whether you used a within-subjects, between-subjects, or mixed design.
• Give the basic findings . This is essentially a brief preview of the results of your paper. 
• Provide any conclusions or implications of the study . What might your results indicate, and what directions does it point to for future research?

Literature Review Abstracts

If your paper is a meta-analysis or literature review, your abstract should:

• Describe the problem of interest . In other words, what is it that you set out to investigate in your analysis or review?
• Explain the criteria used to select the studies included in the paper . There may be many different studies devoted to your topic. Your analysis or review probably only looks at a portion of these studies. For what reason did you select these specific studies to include in your research?
• Identify the participants in the studies . Inform the reader about who the participants were in the studies. Were they college students? Older adults? How were they selected and assigned?
• Provide the main results . Again, this is essentially a quick peek at what readers will find when they read your results section. Don't try to include everything. Just provide a very brief summary of your main findings. 
• Describe any conclusions or implications . What might these results mean and what do they reveal about the body of research that exists on this particular topic?

Lab Reports and Articles

Psychology papers such as lab reports and APA format articles also often require an abstract. In these cases as well, the abstract should include all of the major elements of your paper, including an introduction, hypothesis, methods, results, and discussion.

Remember, although the abstract should be placed at the beginning of your paper (right after the title page), you will write the abstract last after you have completed a final draft of your paper.

To ensure that all of your APA formatting is correct, consider consulting a copy of the  Publication Manual of the American Psychological Association .

Keywords in an APA Abstract

After the paragraph containing the main elements of your abstract, you can also include keywords related to your paper. Such keywords are used when indexing your paper in databases and can help researchers and students locate your paper when searching for information about those topics.

Because keywords help people find your paper, it is essential to choose the right ones. The APA suggests including between three and five keywords.

You can identify keywords by thinking about what your paper is about. For example, if your paper focuses on how social media use is related to depression in teenagers, you might include the keywords: social media, mood, depression, adolescents, social networking sites 

A Word From Verywell

The abstract may be very brief, but it is so important that the official APA style manual identifies it as the most important paragraph in your entire paper. Careful attention to detail can ensure that your abstract does a good job representing the contents of your paper. If possible, take your paper to your school's writing lab for assistance.

Nagda S. How to write a scientific abstract. J Indian Prosthodont Soc. 2013;13(3):382–383. doi:10.1007/s13191-013-0299-x

Kumar A. Writing an abstract: Revealing the essence with eloquence .  J Indian Soc Periodontol . 2022;26(1):1-2. doi:10.4103/jisp.jisp_634_21

American Psychological Association. APA Style Journal Article Reporting Standards: Reporting Standards for Studies With an Experimental Manipulation .

American Psychological Association. APA Style Journal Article Reporting Standards: Quantitative Meta-Analysis Article Reporting Standards .

Tullu MS. Writing the title and abstract for a research paper: Being concise, precise, and meticulous is the key .  Saudi J Anaesth . 2019;13(Suppl 1):S12-S17. doi:10.4103/sja.SJA_685_18

American Psychological Association. Publication Manual of the American Psychological Association (7th ed.). American Psychological Association; 2019.

By Kendra Cherry, MSEd Kendra Cherry, MS, is a psychosocial rehabilitation specialist, psychology educator, and author of the "Everything Psychology Book."

How to Write an Abstract

An abstract of a work, usually of an essay, is a concise summary of its main points. It is meant to concentrate the argument of a work, presenting it as clearly as possible.

The abstract often appears after the title and before the main body of an essay. If you are writing an abstract as part of an assignment, you should check with your instructor about where to place it.

Here are a few guidelines to follow when composing an abstract:

• In general, avoid too much copying and pasting directly from your essay, especially from the first paragraph. An abstract is often presented directly before an essay, and it will often be the first thing readers consult after your title. You wouldn’t repeat your ideas verbatim in the body of your essay, so why would you do that in an abstract? Consider the abstract part of the work itself. 
• Start off strong. An abstract should be a mini essay, so it should begin with a clear statement of your argument. This should be the first sentence or two.
• Abstracts vary in length. But a good rule is to aim for five to seven sentences. The bulk of the abstract will review the evidence for your claim and summarize your findings.
• Avoid complicated syntax. Long sentences and intricate phrasing have their place in essays, but the abstract should be concise. It is not the place for ambitious grammar.
• The last sentence or two should point to any conclusions reached and the direction future research might take. Like the first sentence, the last should be provocative and direct. Leave your readers wanting to read your essay.

In what follows, the authors have written an effective abstract that adheres to the basic principles above:

Literary critics have long imagined that T. S. Eliot’s The Sacred Wood (1920) shaped the canon and methods of countless twentieth-century classrooms. This essay turns instead to the classroom that made The Sacred Wood : the Modern English Literature extension school tutorial that Eliot taught to working-class adults between 1916 and 1919. Contextualizing Eliot’s tutorial within the extension school movement shows how the ethos and practices of the Workers’ Educational Association shaped his teaching. Over the course of three years, Eliot and his students reimagined canonical literature as writing by working poets for working people—a model of literary history that fully informed his canon reformation in The Sacred Wood . This example demonstrates how attention to teaching changes the history of English literary study. It further reveals how all kinds of institutions, not just elite universities, have shaped the discipline’s methods and canons. (Buurma and Heffernan)

This abstract uses the first two sentences to establish the essay’s place in its field of study and to suggest how it intervenes in existing scholarship. The syntax is direct and simple. The third sentence begins to outline how the authors will support their argument. They aim to demonstrate the relevance of Eliot’s teaching to his ideas about literature, and so they move next to discuss some of the details of that teaching. Finally, the abstract concludes by telling us about the consequences of this argument. The conclusion both points to new directions for research and tells us why we should read the essay. 

Buurma, Rachel Sagner, and Laura Heffernan. Abstract of “The Classroom in the Canon: T. S. Eliot’s Modern English Literature Extension Course for Working People and  The Sacred Wood. ”  PMLA , vol. 133, no. 2, Mar. 2018, p. 463.

Estate Best 18 July 2021 AT 05:07 AM

Please how will I write an abstract for my own poem collections?

Your e-mail address will not be published

Marc Simoes 01 April 2022 AT 04:04 PM

I am teaching students how to format and write an abstract, but I find no precise guidelines in the MLA Handbook. Should the first word of the abstract body text begin with the word "Abstract" followed by a period or colon and then the abstract content? Should the word "Abstract" be underlined? Over the years, I was taught both of these ways by different instructors, but I haven't found any definitive instructions, and now my students are asking me the correct format. Please help! Thank you!

Joseph Wallace 12 April 2022 AT 01:04 PM

Although publishers like the MLA will use their own house style guidelines for abstracts in published material, there is no one correct way for students to format their abstracts. Instructors should decide what works best for their classes and assignments.

Lorraine Belo 17 April 2022 AT 10:04 PM

Can you write a brief abstract about your MLA writing

Subrata Biswas 13 July 2023 AT 10:07 AM

Generally, the abstract is written in Italics. Is there any rule as such?

Joseph Wallace 31 July 2023 AT 10:07 AM

Thanks for your question. There is no rule saying that abstracts need to be written in italics. Some publications use italics for abstracts and some do not.

Dhan 07 January 2024 AT 12:01 PM

Should I write key words at the end of the abstract of Phd dissertation?

Join the Conversation

We invite you to comment on this post and exchange ideas with other site visitors. Comments are moderated and subject to terms of service.

If you have a question for the MLA's editors, submit it to Ask the MLA!

• Our Writers
• Revision Policy
• Testimonials

professional writing service. Thousands of satisfied customers. Since 2003

How to Write a Term Paper Abstract

When you are at university, you will be assigned written tasks of different kinds. Whilst most are similar in their form, most have their own rule you need to follow. When you come to larger projects, you will find that you are required to write an abstract. A thesis, research reports and service projects for example, will need an abstract.

The term paper abstract is an important part of the paper. It concisely describes the content and scope of the project and the project’s objective, the methodology and its findings, conclusions, or intended results.

It is not a description of your topic. Some get confused on this point. Your abstract is about your research methods and goals. Your introduction determines the description of your topic. In short, the abstract describes what you are doing, whilst the introduction is about whatever subject you are doing. Abstracts are very short, it is important you do not turn it into a lengthy summary of the entire background of your topic. To help you when writing your abstract, stop at the end of every sentence and make sure you are dealing with the project. Abstracts also vary from discipline to discipline, and sometimes within disciplines. Abstracts in the hard sciences and social sciences often put more emphasis on methods than the humanities. A humanities abstracts will give more time to explain their objective than science abstracts. Even within single disciplines, abstracts often differ. It is best to ask your professor what exactly you are expected to do in your discipline, and obtain examples of abstracts from your field.

No matter the field, every abstract should include four main types of information. It should state the main objective of your project, what the problem or the main issue is; and why did you want to do this project in the first place. Then it should outline the methods you used to accomplish your objectives, explain how you went about solving the problem or exploring the issue you identified as your main objective. It should list your project’s results or intended results. This section of the abstract should list the results of the work you have done so far. Finally, it should draw conclusions about the implications of your project and close with a statement of the project’s implications and contributions to its field. This whole abstract must be brief, therefore be straightforward and do not use unnecessary words. Start by condensing what you have done and reduce it to the essential points.

Alternatively, you can order a term paper from our professional writers. They all are academic graduates with the knowledge already available and their writing skills are well developed. Once you place an order on our website, they will quickly write an original paper for you from scratch. It will be of high quality, sound content and plagiarism free, all done for a reasonable price. They can also help edit and perfect what you have already done. Just let us know your needs and we will meet them.

• Sample Term Papers
• Term Paper Examples
• Term Paper Help
• October 2015
• November 2014
• December 2013
• October 2013
• September 2013
• August 2013
• February 2011
• January 2011
• November 2010
• October 2010
• September 2010
• August 2010
• February 2010
• January 2010
• November 2009
• October 2009
• September 2009
• August 2009

Generate accurate APA citations for free

• Knowledge Base
• APA Style 6th edition
• How to write and format an APA abstract (6th edition)

How to write and format an APA Abstract (6th edition)

Published on November 6, 2020 by Courtney Gahan .

An APA abstract is a summary of your paper in 150–250 words. It describes the research problem , methods , results and conclusions of your research. For published papers, it also includes a list of keywords.

Write the abstract after you have finished your paper, and place it on a separate page after the title page .

The formatting of the abstract page is the same as the rest of an APA style paper : double-spaced, Times New Roman 12pt font, one-inch margins, and a running head at the top of the page.

Table of contents

Apa format abstract example, how to write an apa abstract, apa abstract keywords.

SCRIBBR APA ABSTRACT EXAMPLE RUNNING HEAD 1

What is the problem? Outline the objective, problem statement, research questions and hypotheses. What has been done? Explain your method. What did you discover? Summarize the key findings and conclusions. What do the findings mean? Summarize the discussion and recommendations. What is the problem? Outline the objective, problem statement, research questions and hypotheses. What has been done? Explain your method. What did you discover? Summarize the key findings and conclusions. What do the findings mean? Summarize the discussion and recommendations. What is the problem? Outline the objective, problem statement, research questions and hypotheses. What has been done? Explain your method. What did you discover? Summarize the key findings and conclusions. What do the findings mean? Summarize the discussion and recommendations. What is the problem? Outline the objective, problem statement, research questions and hypotheses. What has been done? Explain your method. What did you discover? Summarize the key findings and conclusions. What do the findings mean? Summarize the discussion and recommendations. What is the problem? Outline the objective, problem statement, research questions and hypotheses. What has been done? Explain your method. What did you discover? Summarize the key findings and conclusions. What do the findings mean? Summarize the discussion and recommendations.

Keywords : example keyword, example keyword, example keyword

An APA abstract must be formatted as follows:

• Include the running head aligned to the left at the top of the page
• On the first line, write the heading “Abstract” (centered and without any formatting)
• Do not indent any part of the text
• Double space the text
• Use Times New Roman font in 12 pt
• Set one-inch (or 2.54 cm) margins
• If you include a “keywords” section at the end of the abstract, indent the first line and italicize the word “Keywords” while leaving the keywords themselves without any formatting

Prevent plagiarism. Run a free check.

Simply answer the following questions and put them together, then voila! You have an abstract for your paper.

• What is the problem? Outline the objective , research questions and/or  hypotheses .
• What has been done? Explain your research methods .
• What did you discover? Summarize the key findings and conclusions .
• What do the findings mean? Summarize the discussion and recommendations .

If you need more guidance writing your abstract, read our detailed instructions on what to include and see an abstract example.

How to write an abstract

At the end of the abstract, you can also include a short list of keywords that will be used for indexing if your paper is published on a database. Listing your keywords will help other researchers find your work.

Make sure that your keywords:

• Accurately represent the content
• Are specific to your field

APA abstract keywords example

Here is an example of an APA format paper published as a chapter in a book, where the author has included a set of keywords. The author has chosen the terms listed in the title as keywords as well as several other related keywords that feature in their research.

Book chapter title: Nonparalytic Polio and Post-Polio Syndrome

From: Post-Polio Syndrome: A Guide for Polio Survivors and Their Families (pp. 21-26), Julie K. Silver, Yale University Press (2001)

Keywords: Polio, Paralysis, Symptoms, Postpoliomyelitis syndrome, Medical diagnosis, Legs, Physicians, Strokes, Misdiagnosis

Cite this Scribbr article

If you want to cite this source, you can copy and paste the citation or click the “Cite this Scribbr article” button to automatically add the citation to our free Citation Generator.

Gahan, C. (2020, November 06). How to write and format an APA Abstract (6th edition). Scribbr. Retrieved April 2, 2024, from https://www.scribbr.com/apa-style/6th-edition/archived-abstract/

Is this article helpful?

Courtney Gahan

Scribbr apa citation checker.

An innovative new tool that checks your APA citations with AI software. Say goodbye to inaccurate citations!

How to Write a Term Paper From Start to Finish

The term paper, often regarded as the culmination of a semester's hard work, is a rite of passage for students in pursuit of higher education. Here's an interesting fact to kick things off: Did you know that the term paper's origins can be traced back to ancient Greece, where scholars like Plato and Aristotle utilized written works to explore and document their philosophical musings? Just as these great minds once wrote their thoughts on parchment, you, too, can embark on this intellectual voyage with confidence and skill.

How to Write a Term Paper: Short Description

In this article, we'll delve into the core purpose of this kind of assignment – to showcase your understanding of a subject, your research abilities, and your capacity to communicate complex ideas effectively. But it doesn't stop there. We'll also guide you in the art of creating a well-structured term paper format, a roadmap that will not only keep you on track but also ensure your ideas flow seamlessly and logically. Packed with valuable tips on writing, organization, and time management, this resource promises to equip you with the tools needed to excel in your academic writing.

Understanding What Is a Term Paper

A term paper, a crucial component of your college education, is often assigned towards the conclusion of a semester. It's a vehicle through which educators gauge your comprehension of the course content. Imagine it as a bridge between what you've learned in class and your ability to apply that knowledge to real-world topics.

For instance, in a history course, you might be asked to delve into the causes and consequences of a significant historical event, such as World War II. In a psychology class, your term paper might explore the effects of stress on mental health, or in an environmental science course, you could analyze the impact of climate change on a specific region.

Writing a term paper isn't just about summarizing facts. It requires a blend of organization, deep research, and the art of presenting your findings in a way that's both clear and analytical. This means structuring your arguments logically, citing relevant sources, and critically evaluating the information you've gathered.

For further guidance, we've prepared an insightful guide for you authored by our expert essay writer . It's brimming with practical tips and valuable insights to help you stand out in this academic endeavor and earn the recognition you deserve.

How to Start a Term Paper

Before you start, keep the guidelines for the term paper format firmly in mind. If you have any doubts, don't hesitate to reach out to your instructor for clarification before you begin your research and writing process. And remember, procrastination is your worst enemy in this endeavor. If you're aiming to produce an exceptional piece and secure a top grade, it's essential to plan ahead and allocate dedicated time each day to work on it. Now, let our term paper writing services provide you with some valuable tips to help you on your journey:

• Hone Your Topic : Start by cultivating a learning mindset that empowers you to effectively organize your thoughts. Discover how to research a topic in the section below.
• Hook Your Readers: Initiate a brainstorming session and unleash a barrage of creative ideas to captivate your audience right from the outset. Pose intriguing questions, share compelling anecdotes, offer persuasive statistics, and more.
• Craft a Concise Thesis Statement Example : If you find yourself struggling to encapsulate the main idea of your paper in just a sentence or two, it's time to revisit your initial topic and consider narrowing it down.
• Understand Style Requirements: Your work must adhere to specific formatting guidelines. Delve into details about the APA format and other pertinent regulations in the section provided.
• Delve Deeper with Research : Equipped with a clearer understanding of your objectives, dive into your subject matter with a discerning eye. Ensure that you draw from reputable and reliable sources.
• Begin Writing: Don't obsess over perfection from the get-go. Just start writing, and don't worry about initial imperfections. You can always revise or remove those early sentences later. The key is to initiate the term papers as soon as you've amassed sufficient information.

Ace your term paper with EssayPro 's expert help. Our academic professionals are here to guide you through every step, ensuring your term paper is well-researched, structured, and written to the highest standards.

Term Paper Topics

Selecting the right topic for your term paper is a critical step, one that can significantly impact your overall experience and the quality of your work. While instructors sometimes provide specific topics, there are instances when you have the freedom to choose your own. To guide you on how to write a term paper, consider the following factors when deciding on your dissertation topics :

• Relevance to Assignment Length: Begin by considering the required length of your paper. Whether it's a substantial 10-page paper or a more concise 5-page one, understanding the word count will help you determine the appropriate scope for your subject. This will inform whether your topic should be broad or more narrowly focused.
• Availability of Resources : Investigate the resources at your disposal. Check your school or community library for books and materials that can support your research. Additionally, explore online sources to ensure you have access to a variety of reference materials.
• Complexity and Clarity : Ensure you can effectively explain your chosen topic, regardless of how complex it may seem. If you encounter areas that are challenging to grasp fully, don't hesitate to seek guidance from experts or your professor. Clarity and understanding are key to producing a well-structured term paper.
• Avoiding Overused Concepts : Refrain from choosing overly trendy or overused topics. Mainstream subjects often fail to captivate the interest of your readers or instructors, as they can lead to repetitive content. Instead, opt for a unique angle or approach that adds depth to your paper.
• Manageability and Passion : While passion can drive your choice of topic, it's important to ensure that it is manageable within the given time frame and with the available resources. If necessary, consider scaling down a topic that remains intriguing and motivating to you, ensuring it aligns with your course objectives and personal interests.

Worrying About the Quality of Your Upcoming Essay?

"Being highly trained professionals, our writers can provide term paper help by creating a paper specifically tailored to your needs.

Term Paper Outline

Before embarking on the journey of writing a term paper, it's crucial to establish a well-structured outline. Be mindful of any specific formatting requirements your teacher may have in mind, as these will guide your outline's structure. Here's a basic format to help you get started:

• Cover Page: Begin with a cover page featuring your name, course number, teacher's name, and the deadline date, centered at the top.
• Abstract: Craft a concise summary of your work that informs readers about your paper's topic, its significance, and the key points you'll explore.
• Introduction: Commence your term paper introduction with a clear and compelling statement of your chosen topic. Explain why it's relevant and outline your approach to addressing it.
• Body: This section serves as the meat of academic papers, where you present the primary findings from your research. Provide detailed information about the topic to enhance the reader's understanding. Ensure you incorporate various viewpoints on the issue and conduct a thorough analysis of your research.
• Results: Share the insights and conclusions that your research has led you to. Discuss any shifts in your perspective or understanding that have occurred during the course of your project.
• Discussion: Conclude your term paper with a comprehensive summary of the topic and your findings. You can wrap up with a thought-provoking question or encourage readers to explore the subject further through their own research.

How to Write a Term Paper with 5 Steps

Before you begin your term paper, it's crucial to understand what a term paper proposal entails. This proposal serves as your way to introduce and justify your chosen topic to your instructor, and it must gain approval before you start writing the actual paper.

In your proposal, include recent studies or research related to your topic, along with proper references. Clearly explain the topic's relevance to your course, outline your objectives, and organize your ideas effectively. This helps your instructor grasp your term paper's direction. If needed, you can also seek assistance from our expert writers and buy term paper .

Draft the Abstract

The abstract is a critical element while writing a term paper, and it plays a crucial role in piquing the reader's interest. To create a captivating abstract, consider these key points from our dissertation writing service :

• Conciseness: Keep it short and to the point, around 150-250 words. No need for lengthy explanations.
• Highlight Key Elements: Summarize the problem you're addressing, your research methods, and primary findings or conclusions. For instance, if your paper discusses the impact of social media on mental health, mention your research methods and significant findings.
• Engagement: Make your abstract engaging. Use language that draws readers in. For example, if your paper explores the effects of artificial intelligence on the job market, you might begin with a question like, 'Is AI revolutionizing our work landscape, or should we prepare for the robots to take over?'
• Clarity: Avoid excessive jargon or technical terms to ensure accessibility to a wider audience.

Craft the Introduction

The introduction sets the stage for your entire term paper and should engage readers from the outset. To craft an intriguing introduction, consider these tips:

• Hook Your Audience: Start with a captivating hook, such as a thought-provoking question or a compelling statistic. For example, if your paper explores the impact of smartphone addiction, you could begin with, 'Can you remember the last time you went a whole day without checking your phone?'
• State Your Purpose: Clearly state the purpose of your paper and its relevance. If your term paper is about renewable energy's role in combating climate change, explain why this topic is essential in today's world.
• Provide a Roadmap: Briefly outline how your paper is structured. For instance, if your paper discusses the benefits of mindfulness meditation, mention that you will explore its effects on stress reduction, emotional well-being, and cognitive performance.
• Thesis Statement: Conclude your introduction with a concise thesis statement that encapsulates the central argument or message of your paper. In the case of a term paper on the impact of online education, your thesis might be: 'Online education is revolutionizing learning by providing accessibility, flexibility, and innovative teaching methods.'

Develop the Body Sections: Brainstorming Concepts and Content

Generate ideas and compose text: body sections.

The body of your term paper is where you present your research, arguments, and analysis. To generate ideas and write engaging text in the body sections, consider these strategies from our research paper writer :

• Structure Your Ideas: Organize your paper into sections or paragraphs, each addressing a specific aspect of your topic. For example, if your term paper explores the impact of social media on interpersonal relationships, you might have sections on communication patterns, privacy concerns, and emotional well-being.
• Support with Evidence: Back up your arguments with credible evidence, such as data, research findings, or expert opinions. For instance, when discussing the effects of social media on mental health, you can include statistics on social media usage and its correlation with anxiety or depression.
• Offer Diverse Perspectives: Acknowledge and explore various viewpoints on the topic. When writing about the pros and cons of genetic engineering, present both the potential benefits, like disease prevention, and the ethical concerns associated with altering human genetics.
• Use Engaging Examples: Incorporate real-life examples to illustrate your points. If your paper discusses the consequences of climate change, share specific instances of extreme weather events or environmental degradation to make the topic relatable.
• Ask Thought-Provoking Questions: Integrate questions throughout your text to engage readers and stimulate critical thinking. In a term paper on the future of artificial intelligence, you might ask, 'How will AI impact job markets and the concept of work in the coming years?'

Formulate the Conclusion

The conclusion section should provide a satisfying wrap-up of your arguments and insights. To craft a compelling term paper example conclusion, follow these steps:

• Revisit Your Thesis: Begin by restating your thesis statement. This reinforces the central message of your paper. For example, if your thesis is about the importance of biodiversity conservation, reiterate that biodiversity is crucial for ecological balance and human well-being.
• Summarize Key Points: Briefly recap the main points you've discussed in the body of your paper. For instance, if you've been exploring the impact of globalization on local economies, summarize the effects on industries, job markets, and cultural diversity.
• Emphasize Your Main Argument: Reaffirm the significance of your thesis and the overall message of your paper. Discuss why your findings are important or relevant in a broader context. If your term paper discusses the advantages of renewable energy, underscore its potential to combat climate change and reduce our reliance on fossil fuels.
• Offer a Thoughtful Reflection: Share your own reflections or insights about the topic. How has your understanding evolved during your research? Have you uncovered any unexpected findings or implications? If your paper discusses the future of space exploration, consider what it means for humanity's quest to explore the cosmos.
• End with Impact: Conclude your term paper with a powerful closing statement. You can leave the reader with a thought-provoking question, a call to action, or a reflection on the broader implications of your topic. For instance, if your paper is about the ethics of artificial intelligence, you could finish by asking, 'As AI continues to advance, what ethical considerations will guide our choices and decisions?'

Edit and Enhance the Initial Draft

After completing your initial draft, the revision and polishing phase is essential for improving your paper. Here's how to refine your work efficiently:

• Take a Break: Step back and return to your paper with a fresh perspective.
• Structure Check: Ensure your paper flows logically and transitions smoothly from the introduction to the conclusion.
• Clarity and Conciseness: Trim excess words for clarity and precision.
• Grammar and Style: Proofread for errors and ensure consistent style.
• Citations and References: Double-check your citations and reference list.
• Peer Review: Seek feedback from peers or professors for valuable insights.
• Enhance Intro and Conclusion: Make your introduction and conclusion engaging and impactful.
• Coherence Check: Ensure your arguments support your thesis consistently.
• Read Aloud: Reading your paper aloud helps identify issues.
• Final Proofread: Perform a thorough proofread to catch any remaining errors.

Term Paper Format

When formatting your term paper, consider its length and the required citation style, which depends on your research topic. Proper referencing is crucial to avoid plagiarism in academic writing. Common citation styles include APA and MLA.

If unsure how to cite term paper for social sciences, use the APA format, including the author's name, book title, publication year, publisher, and location when citing a book.

For liberal arts and humanities, MLA is common, requiring the publication name, date, and location for referencing.

Adhering to the appropriate term paper format and citation style ensures an organized and academically sound paper. Follow your instructor's guidelines for a polished and successful paper.

Term Paper Example

To access our term paper example, simply click the button below.

The timeline of events from 1776 to 1861, that, in the end, prompted the American Civil War, describes and relates to a number of subjects modern historians acknowledge as the origins and causes of the Civil War. In fact, pre-Civil War events had both long-term and short-term influences on the War—such as the election of Abraham Lincoln as the American president in 1860 that led to the Fall of Fort Sumter in April of the same year. In that period, contentions that surrounded states’ rights progressively exploded in Congress—since they were the initial events that formed after independence. Congress focused on resolving significant issues that affected the states, which led to further issues. In that order, the US’s history from 1776 to 1861 provides a rich history, as politicians brought forth dissimilarities, dissections, and tensions between the Southern US & the people of slave states, and the Northern states that were loyal to the Union. The events that unfolded from the period of 1776 to 1861 involved a series of issues because they promoted the great sectional crisis that led to political divisions and the build-up to the Civil War that made the North and the South seem like distinctive and timeless regions that predated the crisis itself.

Final Thoughts

In closing, approach the task of writing term papers with determination and a positive outlook. Begin well in advance, maintain organization, and have faith in your capabilities. Don't hesitate to seek assistance if required, and express your individual perspective with confidence. You're more than capable of succeeding in this endeavor!

Need a Winning Hand in Academia?

Arm yourself with our custom-crafted academic papers that are sharper than a well-honed pencil! Order now and conquer your academic challenges with style!

What is the Difference between a Term Paper and a Research Paper?

What is the fastest way to write a term paper, related articles.

Office of Undergraduate Research

• Office of Undergraduate Research FAQ's
• URSA Engage
• Resources for Students
• Resources for Faculty
• Engaging in Research
• Presenting Your Research
• Earn Money by Participating in Research Studies
• Transcript Notation
• Student Publications

How to Write an Abstract

How to write an abstract for a conference, what is an abstract and why is it important, an abstract is a brief summary of your research or creative project, usually about a paragraph long (250-350 words), and is written when you are ready to present your research or included in a thesis or research publication..

For additional support in writing your abstract, you can contact the Office of URSA at [email protected]  or schedule a time to meet with a Writing and Research Consultant at the OSU Writing Center 

Main Components of an Abstract: 

The opening sentences should summarize your topic and describe what researchers already know, with reference to the literature. 

A brief discussion that clearly states the purpose of your research or creative project. This should give general background information on your work and allow people from different fields to understand what you are talking about. Use verbs like investigate, analyze, test, etc. to describe how you began your work. 

In this section you will be discussing the ways in which your research was performed and the type of tools or methodological techniques you used to conduct your research. 

This is where you describe the main findings of your research study and what you have learned. Try to include only the most important findings of your research that will allow the reader to understand your conclusions. If you have not completed the project, talk about your anticipated results and what you expect the outcomes of the study to be. 

Significance

This is the final section of your abstract where you summarize the work performed. This is where you also discuss the relevance of your work and how it advances your field and the scientific field in general.

• Your word count for a conference may be limited, so make your abstract as clear and concise as possible.
• Organize it by using good transition words found on the lef so the information flows well.
• Have your abstract proofread and receive feedback from your supervisor, advisor, peers, writing center, or other professors from different disciplines. 
• Double-check on the guidelines for your abstract and adhere to any formatting or word count requirements.
• Do not include bibliographic references or footnotes. 
• Avoid the overuse of technical terms or jargon. 

Feeling stuck? Visit the OSU ScholarsArchive for more abstract examples related to your field

Contact Info

618 Kerr Administration Building Corvallis, OR 97331

541-737-5105

How to Write an Abstract for a Scientific Paper

• Chemical Laws
• Periodic Table
• Projects & Experiments
• Scientific Method
• Biochemistry
• Physical Chemistry
• Medical Chemistry
• Chemistry In Everyday Life
• Famous Chemists
• Activities for Kids
• Abbreviations & Acronyms
• Weather & Climate
• Ph.D., Biomedical Sciences, University of Tennessee at Knoxville
• B.A., Physics and Mathematics, Hastings College

If you're preparing a research paper or grant proposal, you'll need to know how to write an abstract. Here's a look at what an abstract is and how to write one.

An abstract is a concise summary of an experiment or research project. It should be brief -- typically under 200 words. The purpose of the abstract is to summarize the research paper by stating the purpose of the research, the experimental method, the findings, and the conclusions.

• How to Write an Abstract

The format you'll use for the abstract depends on its purpose. If you're writing for a specific publication or a class assignment, you'll probably need to follow specific guidelines. If there isn't a required format, you'll need to choose from one of two possible types of abstracts.

Informational Abstracts

An informational abstract is a type of abstract used to communicate an experiment or lab report .

• An informational abstract is like a mini-paper. Its length ranges from a paragraph to 1 to 2 pages, depending on the scope of the report. Aim for less than 10% the length of the full report.
• Summarize all aspects of the report, including purpose, method, results, conclusions, and recommendations. There are no graphs, charts, tables, or images in an abstract. Similarly, an abstract does not include a bibliography or references.
• Highlight important discoveries or anomalies. It's okay if the experiment did not go as planned and necessary to state the outcome in the abstract.

Here is a good format to follow, in order, when writing an informational abstract. Each section is a sentence or two long:

• Motivation or Purpose: State why the subject is important or why anyone should care about the experiment and its results.
• Problem: State the hypothesis of the experiment or describe the problem you are trying to solve.
• Method: How did you test the hypothesis or try to solve the problem?
• Results: What was the outcome of the study? Did you support or reject a hypothesis? Did you solve a problem? How close were the results to what you expected? State-specific numbers.
• Conclusions: What is the significance of your findings? Do the results lead to an increase in knowledge, a solution that may be applied to other problems, etc.?

Need examples? The abstracts at PubMed.gov (National Institutes of Health database) are informational abstracts. A random example is this abstract on the effect of coffee consumption on Acute Coronary Syndrome .

Descriptive Abstracts

A descriptive abstract is an extremely brief description of the contents of a report. Its purpose is to tell the reader what to expect from the full paper.

• A descriptive abstract is very short, typically less than 100 words.
• Tells the reader what the report contains, but doesn't go into detail.
• It briefly summarizes the purpose and experimental method, but not the results or conclusions. Basically, say why and how the study was made, but don't go into findings. 

Tips for Writing a Good Abstract

• Write the paper before writing the abstract. You might be tempted to start with the abstract since it comes between the title page and the paper, but it's much easier to summarize a paper or report after it has been completed.
• Write in the third person. Replace phrases like "I found" or "we examined" with phrases like "it was determined" or "this paper provides" or "the investigators found".
• Write the abstract and then pare it down to meet the word limit. In some cases, a long abstract will result in automatic rejection for publication or a grade!
• Think of keywords and phrases a person looking for your work might use or enter into a search engine. Include those words in your abstract. Even if the paper won't be published, this is a good habit to develop.
• All information in the abstract must be covered in the body of the paper. Don't put a fact in the abstract that isn't described in the report.
• Proof-read the abstract for typos, spelling mistakes, and punctuation errors.
• Abstract Writing for Sociology
• How to Write a Science Fair Project Report
• How to Format a Biology Lab Report
• Six Steps of the Scientific Method
• How to Write a Lab Report
• Science Lab Report Template - Fill in the Blanks
• An Introduction to Academic Writing
• Null Hypothesis Definition and Examples
• Scientific Method Flow Chart
• How To Design a Science Fair Experiment
• How to Write a Research Paper That Earns an A
• What Is Depth of Knowledge?
• What Is a Testable Hypothesis?
• How to Write a Great Book Report

How to Write an Abstract APA Format

Saul Mcleod, PhD

Editor-in-Chief for Simply Psychology

BSc (Hons) Psychology, MRes, PhD, University of Manchester

Saul Mcleod, PhD., is a qualified psychology teacher with over 18 years of experience in further and higher education. He has been published in peer-reviewed journals, including the Journal of Clinical Psychology.

Learn about our Editorial Process

Olivia Guy-Evans, MSc

Associate Editor for Simply Psychology

BSc (Hons) Psychology, MSc Psychology of Education

Olivia Guy-Evans is a writer and associate editor for Simply Psychology. She has previously worked in healthcare and educational sectors.

An APA abstract is a brief, comprehensive summary of the contents of an article, research paper, dissertation, or report.

It is written in accordance with the guidelines of the American Psychological Association (APA), which is a widely used format in social and behavioral sciences. 

An APA abstract summarizes, usually in one paragraph of between 150–250 words, the major aspects of a research paper or dissertation in a prescribed sequence that includes:

• The rationale: the overall purpose of the study, providing a clear context for the research undertaken.
• Information regarding the method and participants: including materials/instruments, design, procedure, and data analysis.
• Main findings or trends: effectively highlighting the key outcomes of the hypotheses.
• Interpretations and conclusion(s): solidify the implications of the research.
• Keywords related to the study: assist the paper’s discoverability in academic databases.

The abstract should stand alone, be “self-contained,” and make sense to the reader in isolation from the main article.

The purpose of the abstract is to give the reader a quick overview of the essential information before reading the entire article. The abstract is placed on its own page, directly after the title page and before the main body of the paper.

Although the abstract will appear as the very first part of your paper, it’s good practice to write your abstract after you’ve drafted your full paper, so that you know what you’re summarizing.

Note : This page reflects the latest version of the APA Publication Manual (i.e., APA 7), released in October 2019.

Structure of the Abstract

[NOTE: DO NOT separate the components of the abstract – it should be written as a single paragraph. This section is separated to illustrate the abstract’s structure.]

1) The Rationale

One or two sentences describing the overall purpose of the study and the research problem(s) you investigated. You are basically justifying why this study was conducted.

• What is the importance of the research?
• Why would a reader be interested in the larger work?
• For example, are you filling a gap in previous research or applying new methods to take a fresh look at existing ideas or data?
• Women who are diagnosed with breast cancer can experience an array of psychosocial difficulties; however, social support, particularly from a spouse, has been shown to have a protective function during this time. This study examined the ways in which a woman’s daily mood, pain, and fatigue, and her spouse’s marital satisfaction predict the woman’s report of partner support in the context of breast cancer.
• The current nursing shortage, high hospital nurse job dissatisfaction, and reports of uneven quality of hospital care are not uniquely American phenomena.
• Students with special educational needs and disabilities (SEND) are more likely to exhibit behavioral difficulties than their typically developing peers. The aim of this study was to identify specific risk factors that influence variability in behavior difficulties among individuals with SEND.

2) The Method

Information regarding the participants (number, and population). One or two sentences outlining the method, explaining what was done and how. The method is described in the present tense.

• Pretest data from a larger intervention study and multilevel modeling were used to examine the effects of women’s daily mood, pain, and fatigue and average levels of mood, pain, and fatigue on women’s report of social support received from her partner, as well as how the effects of mood interacted with partners’ marital satisfaction.
• This paper presents reports from 43,000 nurses from more than 700 hospitals in the United States, Canada, England, Scotland, and Germany in 1998–1999.
• The study sample comprised 4,228 students with SEND, aged 5–15, drawn from 305 primary and secondary schools across England. Explanatory variables were measured at the individual and school levels at baseline, along with a teacher-reported measure of behavior difficulties (assessed at baseline and the 18-month follow-up).

3) The Results

One or two sentences indicating the main findings or trends found as a result of your analysis. The results are described in the present or past tense.

• Results show that on days in which women reported higher levels of negative or positive mood, as well as on days they reported more pain and fatigue, they reported receiving more support. Women who, on average, reported higher levels of positive mood tended to report receiving more support than those who, on average, reported lower positive mood. However, average levels of negative mood were not associated with support. Higher average levels of fatigue but not pain were associated with higher support. Finally, women whose husbands reported higher levels of marital satisfaction reported receiving more partner support, but husbands’ marital satisfaction did not moderate the effect of women’s mood on support.
• Nurses in countries with distinctly different healthcare systems report similar shortcomings in their work environments and the quality of hospital care. While the competence of and relation between nurses and physicians appear satisfactory, core problems in work design and workforce management threaten the provision of care.
• Hierarchical linear modeling of data revealed that differences between schools accounted for between 13% (secondary) and 15.4% (primary) of the total variance in the development of students’ behavior difficulties, with the remainder attributable to individual differences. Statistically significant risk markers for these problems across both phases of education were being male, eligibility for free school meals, being identified as a bully, and lower academic achievement. Additional risk markers specific to each phase of education at the individual and school levels are also acknowledged.

4) The Conclusion / Implications

A brief summary of your conclusions and implications of the results, described in the present tense. Explain the results and why the study is important to the reader.

• For example, what changes should be implemented as a result of the findings of the work?
• How does this work add to the body of knowledge on the topic?

Implications of these findings are discussed relative to assisting couples during this difficult time in their lives.

• Resolving these issues, which are amenable to managerial intervention, is essential to preserving patient safety and care of consistently high quality.
• Behavior difficulties are affected by risks across multiple ecological levels. Addressing any one of these potential influences is therefore likely to contribute to the reduction in the problems displayed.

The above examples of abstracts are from the following papers:

Aiken, L. H., Clarke, S. P., Sloane, D. M., Sochalski, J. A., Busse, R., Clarke, H., … & Shamian, J. (2001). Nurses’ reports on hospital care in five countries . Health affairs, 20(3) , 43-53.

Boeding, S. E., Pukay-Martin, N. D., Baucom, D. H., Porter, L. S., Kirby, J. S., Gremore, T. M., & Keefe, F. J. (2014). Couples and breast cancer: Women’s mood and partners’ marital satisfaction predicting support perception . Journal of Family Psychology, 28(5) , 675.

Oldfield, J., Humphrey, N., & Hebron, J. (2017). Risk factors in the development of behavior difficulties among students with special educational needs and disabilities: A multilevel analysis . British journal of educational psychology, 87(2) , 146-169.

5) Keywords

APA style suggests including a list of keywords at the end of the abstract. This is particularly common in academic articles and helps other researchers find your work in databases.

Keywords in an abstract should be selected to help other researchers find your work when searching an online database. These keywords should effectively represent the main topics of your study. Here are some tips for choosing keywords:

Core Concepts: Identify the most important ideas or concepts in your paper. These often include your main research topic, the methods you’ve used, or the theories you’re discussing.

Specificity: Your keywords should be specific to your research. For example, suppose your paper is about the effects of climate change on bird migration patterns in a specific region. In that case, your keywords might include “climate change,” “bird migration,” and the region’s name.

Consistency with Paper: Make sure your keywords are consistent with the terms you’ve used in your paper. For example, if you use the term “adolescent” rather than “teen” in your paper, choose “adolescent” as your keyword, not “teen.”

Jargon and Acronyms: Avoid using too much-specialized jargon or acronyms in your keywords, as these might not be understood or used by all researchers in your field.

Synonyms: Consider including synonyms of your keywords to capture as many relevant searches as possible. For example, if your paper discusses “post-traumatic stress disorder,” you might include “PTSD” as a keyword.

Remember, keywords are a tool for others to find your work, so think about what terms other researchers might use when searching for papers on your topic.

The Abstract SHOULD NOT contain:

Lengthy background or contextual information: The abstract should focus on your research and findings, not general topic background.

Undefined jargon, abbreviations,  or acronyms: The abstract should be accessible to a wide audience, so avoid highly specialized terms without defining them.

Citations: Abstracts typically do not include citations, as they summarize original research.

Incomplete sentences or bulleted lists: The abstract should be a single, coherent paragraph written in complete sentences.

New information not covered in the paper: The abstract should only summarize the paper’s content.

Subjective comments or value judgments: Stick to objective descriptions of your research.

Excessive details on methods or procedures: Keep descriptions of methods brief and focused on main steps.

Speculative or inconclusive statements: The abstract should state the research’s clear findings, not hypotheses or possible interpretations.

• Any illustration, figure, table, or references to them . All visual aids, data, or extensive details should be included in the main body of your paper, not in the abstract. 
• Elliptical or incomplete sentences should be avoided in an abstract . The use of ellipses (…), which could indicate incomplete thoughts or omitted text, is not appropriate in an abstract.

APA Style for Abstracts

An APA abstract must be formatted as follows:

Include the running head aligned to the left at the top of the page (professional papers only) and page number. Note, student papers do not require a running head. On the first line, center the heading “Abstract” and bold (do not underlined or italicize). Do not indent the single abstract paragraph (which begins one line below the section title). Double-space the text. Use Times New Roman font in 12 pt. Set one-inch (or 2.54 cm) margins. If you include a “keywords” section at the end of the abstract, indent the first line and italicize the word “Keywords” while leaving the keywords themselves without any formatting.

Example APA Abstract Page

Download this example as a PDF

Further Information

• APA 7th Edition Abstract and Keywords Guide
• Example APA Abstract
• How to Write a Good Abstract for a Scientific Paper or Conference Presentation
• How to Write a Lab Report
• Writing an APA paper

How long should an APA abstract be?

An APA abstract should typically be between 150 to 250 words long. However, the exact length may vary depending on specific publication or assignment guidelines. It is crucial that it succinctly summarizes the essential elements of the work, including purpose, methods, findings, and conclusions.

Where does the abstract go in an APA paper?

In an APA formatted paper, the abstract is placed on its own page, directly after the title page and before the main body of the paper. It’s typically the second page of the document. It starts with the word “Abstract” (centered and not in bold) at the top of the page, followed by the text of the abstract itself.

What are the 4 C’s of abstract writing?

The 4 C’s of abstract writing are an approach to help you create a well-structured and informative abstract. They are:

Conciseness: An abstract should briefly summarize the key points of your study. Stick to the word limit (typically between 150-250 words for an APA abstract) and avoid unnecessary details.

Clarity: Your abstract should be easy to understand. Avoid jargon and complex sentences. Clearly explain the purpose, methods, results, and conclusions of your study.

Completeness: Even though it’s brief, the abstract should provide a complete overview of your study, including the purpose, methods, key findings, and your interpretation of the results.

Cohesion: The abstract should flow logically from one point to the next, maintaining a coherent narrative about your study. It’s not just a list of disjointed elements; it’s a brief story of your research from start to finish.

What is the abstract of a psychology paper?

An abstract in a psychology paper serves as a snapshot of the paper, allowing readers to quickly understand the purpose, methodology, results, and implications of the research without reading the entire paper. It is generally between 150-250 words long.

How to Write a Term Paper: A Complete Guide With Examples

You just got your term paper assignment and have no idea what to do or how to start? This guide will navigate you through every step of the process, from idea formation to final editing and proofreading. We will start with outlining, drafting and brainstorming, and get you through the writing part in no time. So, let’s dive into the question of how to write a term paper.

If you want to know everything you will need about term papers, this guide, written by the writers at the best essay writing service will help you along.

Table of Contents

What is a term paper.

A term paper is an academic milestone more so than anything else. As a student, you are tasked with learning and then transmitting that knowledge to others. A term paper is just that, a way to show what you have learnt, and disseminate the knowledge to others. Unlike other types of academic writing , a term paper is more detailed, requires more research, and is generally seen as the hardest piece of written work aside from a thesis.

The aim of a term paper is to showcase your understanding of the subject matter and how well you handle pressure and deadlines. In this context, a term paper proves invaluable. In terms of scope, term papers may zero in on an important historical event – if you’re studying history – a scientific concept, or a contentious argument. The choice hinges on the prompt created by your academic advisor. The typical length of a term paper can stretch to five or seven pages, and is generally the prerequisite to attend end-of-semester examination. But, it is also a part of the weighted grade you’ll receive, which only adds to its importance.

For the average student, writing a term paper takes around two weeks, and is a process many do not fully understand. Term paper starts from a very basic element, a question.

Say your teacher wants you to analyze the arguments for and against US involvement in World War II. How would you start? By asking a question; something like: Why did the US enter the war? Or, why did the US waive its neutrality and entered the war.

This opens the door for you and allows you to find an article or two that then leads to the second step, and so on and so on, until you are done. The problem is many students do not know how the process works, or what skills are needed to get the job done. To write an excellent paper you need to plan carefully, adapt to new conditions, be analytical yet persuasive, and understand how referencing works. In addition, the paper has to be formatted to specifications of your chosen citation style – APA, MLA, Chicago/Turabian, Harvard, etc. This is a lot of work!

What is the Purpose of a Term Paper

At its core, a term paper serves to test your ability to understand arguments and defend them using written constructs within a pre-determined time period. Put simply, it tests your ability to navigate complex ideas when faced with a deadline – something that comes in handy in almost every job you’ll ever have later in life. If you can understand a complex event, a scientific theory, or a debatable stance, based on the directive from your academic mentor, you can manage pretty much anything that is thrown your way.

A typical term paper will be between five to seven pages, and represents the pinnacle of writing tasks in the semester. The process of term paper writing, even when the topic is prescribed, can be an arduous and time-consuming undertaking. To succeed you need meticulous planning, good composition skills, and scrupulous analysis, structure, and edit

Doing the Basics Right Saves You Time

As Seneca famously said, “Luck Is What Happens When Preparation Meets Opportunity.” In short, prepare, prepare, prepare. To create a perfect term paper you need to know, well in advance, how it will look, what will it be about, and how will it be structured. This then allows you to simply fill in the blanks as you go. But, if you start a day before submission, you’re toast – or, you can always ask for help from us J – because the result will be Red Bull frenzy induced compilation of internet’s best hits. And trust me when I say, your teacher has those stored in memory; you’re not the first student to turn a deaf ear on old Seneca….

So, let’s see how to start your term paper:

• Select your topic – If possible choose something that you’re personally interested in. When you choose early, all the good topics are still free, so keep that in mind.
• Research your topic – Once chosen, sit at your computer and run through Google Scholar or your University Library for anything that pops up when you type in your exact topic.
• Create an outline – When you have a basic understanding of the topic, prepare an outline. It’s always going to be fairly standard, so once you get it right, you can re-use whenever you need to in the future.
• Thesis statement – Now starts the tricky part. Just kidding, this is still the Top Lane, we’re not even close to the Jungle. Thesis statements are always pretty similar. Jolt down your guiding question and then, based on what you’ve read, write a one sentence argument. For example, if writing about solar and wind, you might go with: Solar and wind power are the future of energy production because fossil fuels are unsustainable.
• Topics, topic sentences, and paragraphs – Every paragraph starts with a topic sentence that describes what the paragraph is talking about. The easiest way to understand is this. If writing a paper about wind and solar, you would need at least three topic sentences – 1)Wind 2)Solar 3)Benefits of using wind and solar. Naturally, a term paper needs much more than just three, but you get the idea.
•   Conclusion – Once you’ve written down the topic sentences and outlined the paper, note your own expectations of what you’ll find in the conclusion. This will help you understand what is happening, and when you’re actually writing the conclusion it will tell you if you were right or wrong.

Pro tip: If all of this is too much for you, there is always the possibility of asking professionals for help. Our team of term paper writers are here to help, so feel free to reach out!

Structure of a Term Paper

As you’ve probably guessed by now, every paper has to have a specific structure. In general, you can expect to have at least three parts – introduction, body, and a conclusion. However, longer papers may need several sub-sections, perhaps even an abstract or a summary, and a page dedicated to bibliography.

A typical term paper has three to five body paragraphs that form the backbone of your arguments and analytical discourse. A bibliography is always needed, even if your sources predominantly comprise course materials or excerpts from consulted textbooks. Depending on the chosen style, you will need either a Works Cited page (MLA), a Reference page (APA) or a Bibliography (Harvard, Chicago). Given its pivotal role in determining your final course grade, make sure to adhere to the highest writing and editing standards.

Term Paper Outline

• Title page – this is where you enter your name, teacher name, school, class, and date. The formatting will depend on your chosen style
• Introduction – Introduction sets the stage for your arguments. This is where you present statistics, define helpful terms, and finally present your thesis statement. IMPORTANT: Thesis statement is always the last sentence in the introduction.
• Body 1: Historical setting or development
• Body 2: Current state of knowledge about the problem
• Body 3: Main argument and potential implications
• Body 4: Argument for
• Body 5: Argument against
• Body 6: Summary
• Conclusion : Bring all of the body arguments together and restate your thesis statement.
• Bibliography : Provide references for all sources cited in the term paper using the style of your choice

Now let’s get to the nitty gritty of the writing process.

Topic Selection – In most cases teachers or instructors will provide students with a list of pre-approved topics to choose from. But, in some cases you will get the opportunity to choose for yourself. This is both a blessing and a curse, because it can lead you into a deep pit of despair if you are not careful.

Length – Every paper will have an assigned length. You should never go under the minimum or the maximum word/page count, as that will take points away from your final score. If the prompt asks for 10 pages, write that.

Sources – Consult your school library, Google Scholar, and any other database that has access to journals and books on your topic.

Simplify – While it is admirable to be able to write in a high-brow voice, it’s much better to use plain language as much as possible, but staying within the confines of academic jargon. No don’t’s, couldnt’s, or should’ve. If something is too complicated to explain simply, you do not understand it properly. Ask for clarification.

Do not be afraid to wander – Choosing a common topic may be a safe bet, but your teacher will grade you higher if you take a topic nobody else even though about. Brownie points are there for the taking. Just make sure you know what you’re talking about!

Don’t overextend – While the entire combined histories of all monastic orders may seem like an interesting topic (well, to us at least), it is waaaaaaay too broad to cover in 5 or 10 pages. Heck, that would probably take an entire compendium with multiple volumes. In short, don’t be a megalomaniac and choose a topic that fits in 5 pages.

How to Write a Term Paper: The Writing Process

Before starting your write up, the teacher will expect a proposal. This is a very short summary of the topic, your thesis statement, and a few sources. The goal is to present a topic that you can defend and ask the teacher to approve it.

So how do you write a proposal? Start by writing down your thesis statement and guiding question. Then identify three to four sources and jolt down key statistics and pieces of information that are linked to your thesis statement. The goal is to show you’ve done the work. The proposal will generally have a full outline (see above) so that the teacher knows what you are planning to do. If you explain what the topic is and why it is important in writing , the teacher will accept the proposal.

Introduction, well, Introduces the Term Paper

Your essay has to start strong, which is why 99.99%  of all introductions start with a hook that captivates the audience. A hook can be anything, a statistic (like 40% of people in the US have no savings whatsoever, which means around 140 million people are completely broke – now that’s a hook, line, and sinker).

Once you know the reader is hooked, you present a brief overview of the topic you will discuss. This is where you bring statistics, data, and broader theories or concepts that may relate.

The end of the introduction is always reserved for the thesis statement, which is the last sentence of the introduction.

Try to be concise – not more than ¾ of a page (cca 200-250 words), but detailed enough so that the reader understands what the paper is about.

Writing the Body Sections

When you are certain you can understand the concepts and arguments presented in the literature, it’s time to write your body paragraphs.

The goal is to provide the reader with enough context and argumentation to prove your point. So, if you’re writing about the advantages of nuclear energy, you have to provide evidence from the literature as well as a thorough analysis of all benefits and drawbacks. The goal is to be as objective as possible, while ensuring your results are accurate.

Do not dwell on too much detail, you cannot fit all of the information in a 5 – 10 page paper. Isolate the most important pieces of evidence, maybe 3-4 and focus on those.

As a rule of thumb, you will aim for 4 – 5 body paragraphs minimum, but in most cases you will need more. The first section should be the literature review, where you analyze state-of-the-art of the topic you are writing about.

Following the literature review is your analysis, which draws from the information you’ve collected. It’s important to note, do not try and make up new stuff, or draw conclusions in this section. Simply analyze and summarize the findings in your own voice.

The last paragraph of the body section can be your own summary, where you present a different opinion. Be concise and do not go into too much detail, simply note if you think there are any discrepancies in the literature.

Remember : Always start your paragraphs with a topic sentence and try to contain the information within the paragraph to the topic.

Writing the Conclusion

Conclusion is the most important part of the term paper, even though many do not give it enough attention. This is where you put everything you’ve written together and summarize key findings.

Important : Conclusion is not the place to add new information or knowledge!

To write a good conclusion keep in mind your initial research question and thesis statement. The goal of the term paper is to answer the question and prove your thesis statement is correct. Has your paper done this? Write it down and explain why or why not your initial proposal was correct. A thesis statement can be wrong, and you must acknowledge this in your conclusion.

In the conclusion:

• Summarize your findings
• Discuss implications for future reseasrch

Editing and Finalization

The final word of the conclusion has been written, references added and alphabetized, the paper and the title page formatted. You are finally done. Or, maybe not! Now is the time for the final edit.

Teachers, above everything else, hate reading papers with spelling mistakes and poor grammar. To make sure your paper does not annoy the teacher (you don’t want a lower grade), make sure it is completely free of any errors.

The best way to do this is by using a machine learning tool combined with close reading on your own. The machine will weed out the glaring errors, and you will finish the job.

Read through the draft carefully. Remove any fluff or excess words that add nothing to the argument. You will likely find several sentences you will want to change. Do this now. Once done, start the second read-through.

In this read-through you will hone in on the arguments. Do they make sense? Are statistics properly cited, and do you sound coherent? If the answer is no, you will want to fix the mistakes until satisfied.

Now, finally, you are done! Congratulations. Pat yourself on the back. Oh, wait, we forgot about the abstract!

Abstract Comes First, or Last

In no uncertain terms, do not write the abstract before you’ve completed the term paper. This is always the last part of the writing process, but strangely enough the one your paper starts with. Go figure.

When you do get to this stage, use our secret formula. Well, it’s not really secret but we like to think so. The abstract needs three parts to work well, the introduction, the method/procedure, and the conclusion/findings. Depending on the topic these will vary slightly but you will always find them in an abstract.

Introduce your topic and what you plan to do in two to three sentences.

Describe what method you will use – such as literature review, an experiment, or something else. Two to three sentences.

Define the results you obtained after using the method. Two to three sentences.

Remember : The abstract should be between 120 and 200 words in length, no more is needed.

No, they are not. A research paper is an original piece of writing that comes after some type of original research has been done. Maybe you’ve found a new civilization during a dig, or a new chemical element. The research paper is meant to publicize this finding so other scientists can critique, refute, or confirm its validity. A term paper is a much simpler version that requires no original research. But, a term paper is your preparation for writing a research paper later in life.

This will depend on your teacher. In many cases, you will get a pre-defined format to follow, such as APA, MLA, or Chicago. If not, we recommend using APA or Harvard, as they are relatively simple to learn and have a ton of resources to help you along.

It is important to remember you are not writing a book, so keep the topic narrow. For example, if writing about renewable energy, choose only one type of energy or just one region. Do not try to cram everything into 5-10 pages; it won’t work.

Writing a term paper is certainly a challenge, but it is also manageable if you dedicate yourself to the process. Prepare well in advance, read a lot, and do not be afraid to ask for help if you get stuck. Your teachers are paid to help you, so email them if you get stuck. Above everything, make sure you are interested in the topic, as that will make the process so much easier.

Related Posts

10 Tips To Study Effectively

How To Buy Essays Online? A Safety-First Guide For Students!

• Download PDF
• Share X Facebook Email LinkedIn
• Permissions

Fatal Traffic Risks With a Total Solar Eclipse in the US

• 1 Department of Medicine, University of Toronto, Toronto, Ontario, Canada
• 2 Evaluative Clinical Science Platform, Sunnybrook Research Institute, Toronto, Ontario, Canada
• 3 Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada
• 4 Division of General Internal Medicine, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
• 5 Center for Leading Injury Prevention Practice Education & Research, Toronto, Ontario, Canada
• 6 Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
• 7 Centre for Clinical Epidemiology & Evaluation, University of British Columbia, Vancouver, British Columbia, Canada

A total solar eclipse occurs when the moon temporarily obscures the sun and casts a dark shadow across the earth. This astronomical spectacle has been described for more than 3 millennia and can be predicted with high precision. Eclipse-related solar retinopathy (vision loss from staring at the sun) is an established medical complication; however, other medical outcomes have received little attention. 1

Read More About

Redelmeier DA , Staples JA. Fatal Traffic Risks With a Total Solar Eclipse in the US. JAMA Intern Med. Published online March 25, 2024. doi:10.1001/jamainternmed.2023.5234

Manage citations:

© 2024

Artificial Intelligence Resource Center

Best of JAMA Network 2022

Browse and subscribe to JAMA Network podcasts!

Others Also Liked

Select your interests.

Customize your JAMA Network experience by selecting one or more topics from the list below.

• Academic Medicine
• Acid Base, Electrolytes, Fluids
• Allergy and Clinical Immunology
• American Indian or Alaska Natives
• Anesthesiology
• Anticoagulation
• Art and Images in Psychiatry
• Artificial Intelligence
• Assisted Reproduction
• Bleeding and Transfusion
• Caring for the Critically Ill Patient
• Challenges in Clinical Electrocardiography
• Climate and Health
• Climate Change
• Clinical Challenge
• Clinical Decision Support
• Clinical Implications of Basic Neuroscience
• Clinical Pharmacy and Pharmacology
• Complementary and Alternative Medicine
• Consensus Statements
• Coronavirus (COVID-19)
• Critical Care Medicine
• Cultural Competency
• Dental Medicine
• Dermatology
• Diabetes and Endocrinology
• Diagnostic Test Interpretation
• Drug Development
• Electronic Health Records
• Emergency Medicine
• End of Life, Hospice, Palliative Care
• Environmental Health
• Equity, Diversity, and Inclusion
• Facial Plastic Surgery
• Gastroenterology and Hepatology
• Genetics and Genomics
• Genomics and Precision Health
• Global Health
• Guide to Statistics and Methods
• Hair Disorders
• Health Care Delivery Models
• Health Care Economics, Insurance, Payment
• Health Care Quality
• Health Care Reform
• Health Care Safety
• Health Care Workforce
• Health Disparities
• Health Inequities
• Health Policy
• Health Systems Science
• History of Medicine
• Hypertension
• Images in Neurology
• Implementation Science
• Infectious Diseases
• Innovations in Health Care Delivery
• JAMA Infographic
• Law and Medicine
• Leading Change
• Less is More
• LGBTQIA Medicine
• Lifestyle Behaviors
• Medical Coding
• Medical Devices and Equipment
• Medical Education
• Medical Education and Training
• Medical Journals and Publishing
• Mobile Health and Telemedicine
• Narrative Medicine
• Neuroscience and Psychiatry
• Notable Notes
• Nutrition, Obesity, Exercise
• Obstetrics and Gynecology
• Occupational Health
• Ophthalmology
• Orthopedics
• Otolaryngology
• Pain Medicine
• Palliative Care
• Pathology and Laboratory Medicine
• Patient Care
• Patient Information
• Performance Improvement
• Performance Measures
• Perioperative Care and Consultation
• Pharmacoeconomics
• Pharmacoepidemiology
• Pharmacogenetics
• Pharmacy and Clinical Pharmacology
• Physical Medicine and Rehabilitation
• Physical Therapy
• Physician Leadership
• Population Health
• Primary Care
• Professional Well-being
• Professionalism
• Psychiatry and Behavioral Health
• Public Health
• Pulmonary Medicine
• Regulatory Agencies
• Reproductive Health
• Research, Methods, Statistics
• Resuscitation
• Rheumatology
• Risk Management
• Scientific Discovery and the Future of Medicine
• Shared Decision Making and Communication
• Sleep Medicine
• Sports Medicine
• Stem Cell Transplantation
• Substance Use and Addiction Medicine
• Surgical Innovation
• Surgical Pearls
• Teachable Moment
• Technology and Finance
• The Art of JAMA
• The Arts and Medicine
• The Rational Clinical Examination
• Tobacco and e-Cigarettes
• Translational Medicine
• Trauma and Injury
• Treatment Adherence
• Ultrasonography
• Users' Guide to the Medical Literature
• Vaccination
• Venous Thromboembolism
• Veterans Health
• Women's Health
• Workflow and Process
• Wound Care, Infection, Healing
• Register for email alerts with links to free full-text articles
• Access PDFs of free articles
• Manage your interests
• Save searches and receive search alerts

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

• View all journals
• My Account Login
• Explore content
• About the journal
• Publish with us
• Sign up for alerts
• Open access
• Published: 26 March 2024

Predicting and improving complex beer flavor through machine learning

• Michiel Schreurs   ORCID: orcid.org/0000-0002-9449-5619 1 , 2 , 3   na1 ,
• Supinya Piampongsant 1 , 2 , 3   na1 ,
• Miguel Roncoroni   ORCID: orcid.org/0000-0001-7461-1427 1 , 2 , 3   na1 ,
• Lloyd Cool   ORCID: orcid.org/0000-0001-9936-3124 1 , 2 , 3 , 4 ,
• Beatriz Herrera-Malaver   ORCID: orcid.org/0000-0002-5096-9974 1 , 2 , 3 ,
• Christophe Vanderaa   ORCID: orcid.org/0000-0001-7443-5427 4 ,
• Florian A. Theßeling 1 , 2 , 3 ,
• Łukasz Kreft   ORCID: orcid.org/0000-0001-7620-4657 5 ,
• Alexander Botzki   ORCID: orcid.org/0000-0001-6691-4233 5 ,
• Philippe Malcorps 6 ,
• Luk Daenen 6 ,
• Tom Wenseleers   ORCID: orcid.org/0000-0002-1434-861X 4 &
• Kevin J. Verstrepen   ORCID: orcid.org/0000-0002-3077-6219 1 , 2 , 3  

Nature Communications volume  15 , Article number:  2368 ( 2024 ) Cite this article

44k Accesses

797 Altmetric

Metrics details

• Chemical engineering
• Gas chromatography
• Machine learning
• Metabolomics
• Taste receptors

The perception and appreciation of food flavor depends on many interacting chemical compounds and external factors, and therefore proves challenging to understand and predict. Here, we combine extensive chemical and sensory analyses of 250 different beers to train machine learning models that allow predicting flavor and consumer appreciation. For each beer, we measure over 200 chemical properties, perform quantitative descriptive sensory analysis with a trained tasting panel and map data from over 180,000 consumer reviews to train 10 different machine learning models. The best-performing algorithm, Gradient Boosting, yields models that significantly outperform predictions based on conventional statistics and accurately predict complex food features and consumer appreciation from chemical profiles. Model dissection allows identifying specific and unexpected compounds as drivers of beer flavor and appreciation. Adding these compounds results in variants of commercial alcoholic and non-alcoholic beers with improved consumer appreciation. Together, our study reveals how big data and machine learning uncover complex links between food chemistry, flavor and consumer perception, and lays the foundation to develop novel, tailored foods with superior flavors.

Similar content being viewed by others

BitterSweet: Building machine learning models for predicting the bitter and sweet taste of small molecules

Rudraksh Tuwani, Somin Wadhwa & Ganesh Bagler

Sensory lexicon and aroma volatiles analysis of brewing malt

Xiaoxia Su, Miao Yu, … Tianyi Du

Predicting odor from molecular structure: a multi-label classification approach

Kushagra Saini & Venkatnarayan Ramanathan

Introduction

Predicting and understanding food perception and appreciation is one of the major challenges in food science. Accurate modeling of food flavor and appreciation could yield important opportunities for both producers and consumers, including quality control, product fingerprinting, counterfeit detection, spoilage detection, and the development of new products and product combinations (food pairing) 1 , 2 , 3 , 4 , 5 , 6 . Accurate models for flavor and consumer appreciation would contribute greatly to our scientific understanding of how humans perceive and appreciate flavor. Moreover, accurate predictive models would also facilitate and standardize existing food assessment methods and could supplement or replace assessments by trained and consumer tasting panels, which are variable, expensive and time-consuming 7 , 8 , 9 . Lastly, apart from providing objective, quantitative, accurate and contextual information that can help producers, models can also guide consumers in understanding their personal preferences 10 .

Despite the myriad of applications, predicting food flavor and appreciation from its chemical properties remains a largely elusive goal in sensory science, especially for complex food and beverages 11 , 12 . A key obstacle is the immense number of flavor-active chemicals underlying food flavor. Flavor compounds can vary widely in chemical structure and concentration, making them technically challenging and labor-intensive to quantify, even in the face of innovations in metabolomics, such as non-targeted metabolic fingerprinting 13 , 14 . Moreover, sensory analysis is perhaps even more complicated. Flavor perception is highly complex, resulting from hundreds of different molecules interacting at the physiochemical and sensorial level. Sensory perception is often non-linear, characterized by complex and concentration-dependent synergistic and antagonistic effects 15 , 16 , 17 , 18 , 19 , 20 , 21 that are further convoluted by the genetics, environment, culture and psychology of consumers 22 , 23 , 24 . Perceived flavor is therefore difficult to measure, with problems of sensitivity, accuracy, and reproducibility that can only be resolved by gathering sufficiently large datasets 25 . Trained tasting panels are considered the prime source of quality sensory data, but require meticulous training, are low throughput and high cost. Public databases containing consumer reviews of food products could provide a valuable alternative, especially for studying appreciation scores, which do not require formal training 25 . Public databases offer the advantage of amassing large amounts of data, increasing the statistical power to identify potential drivers of appreciation. However, public datasets suffer from biases, including a bias in the volunteers that contribute to the database, as well as confounding factors such as price, cult status and psychological conformity towards previous ratings of the product.

Classical multivariate statistics and machine learning methods have been used to predict flavor of specific compounds by, for example, linking structural properties of a compound to its potential biological activities or linking concentrations of specific compounds to sensory profiles 1 , 26 . Importantly, most previous studies focused on predicting organoleptic properties of single compounds (often based on their chemical structure) 27 , 28 , 29 , 30 , 31 , 32 , 33 , thus ignoring the fact that these compounds are present in a complex matrix in food or beverages and excluding complex interactions between compounds. Moreover, the classical statistics commonly used in sensory science 34 , 35 , 36 , 37 , 38 , 39 require a large sample size and sufficient variance amongst predictors to create accurate models. They are not fit for studying an extensive set of hundreds of interacting flavor compounds, since they are sensitive to outliers, have a high tendency to overfit and are less suited for non-linear and discontinuous relationships 40 .

In this study, we combine extensive chemical analyses and sensory data of a set of different commercial beers with machine learning approaches to develop models that predict taste, smell, mouthfeel and appreciation from compound concentrations. Beer is particularly suited to model the relationship between chemistry, flavor and appreciation. First, beer is a complex product, consisting of thousands of flavor compounds that partake in complex sensory interactions 41 , 42 , 43 . This chemical diversity arises from the raw materials (malt, yeast, hops, water and spices) and biochemical conversions during the brewing process (kilning, mashing, boiling, fermentation, maturation and aging) 44 , 45 . Second, the advent of the internet saw beer consumers embrace online review platforms, such as RateBeer (ZX Ventures, Anheuser-Busch InBev SA/NV) and BeerAdvocate (Next Glass, inc.). In this way, the beer community provides massive data sets of beer flavor and appreciation scores, creating extraordinarily large sensory databases to complement the analyses of our professional sensory panel. Specifically, we characterize over 200 chemical properties of 250 commercial beers, spread across 22 beer styles, and link these to the descriptive sensory profiling data of a 16-person in-house trained tasting panel and data acquired from over 180,000 public consumer reviews. These unique and extensive datasets enable us to train a suite of machine learning models to predict flavor and appreciation from a beer’s chemical profile. Dissection of the best-performing models allows us to pinpoint specific compounds as potential drivers of beer flavor and appreciation. Follow-up experiments confirm the importance of these compounds and ultimately allow us to significantly improve the flavor and appreciation of selected commercial beers. Together, our study represents a significant step towards understanding complex flavors and reinforces the value of machine learning to develop and refine complex foods. In this way, it represents a stepping stone for further computer-aided food engineering applications 46 .

To generate a comprehensive dataset on beer flavor, we selected 250 commercial Belgian beers across 22 different beer styles (Supplementary Fig.  S1 ). Beers with ≤ 4.2% alcohol by volume (ABV) were classified as non-alcoholic and low-alcoholic. Blonds and Tripels constitute a significant portion of the dataset (12.4% and 11.2%, respectively) reflecting their presence on the Belgian beer market and the heterogeneity of beers within these styles. By contrast, lager beers are less diverse and dominated by a handful of brands. Rare styles such as Brut or Faro make up only a small fraction of the dataset (2% and 1%, respectively) because fewer of these beers are produced and because they are dominated by distinct characteristics in terms of flavor and chemical composition.

Extensive analysis identifies relationships between chemical compounds in beer

For each beer, we measured 226 different chemical properties, including common brewing parameters such as alcohol content, iso-alpha acids, pH, sugar concentration 47 , and over 200 flavor compounds (Methods, Supplementary Table  S1 ). A large portion (37.2%) are terpenoids arising from hopping, responsible for herbal and fruity flavors 16 , 48 . A second major category are yeast metabolites, such as esters and alcohols, that result in fruity and solvent notes 48 , 49 , 50 . Other measured compounds are primarily derived from malt, or other microbes such as non- Saccharomyces yeasts and bacteria (‘wild flora’). Compounds that arise from spices or staling are labeled under ‘Others’. Five attributes (caloric value, total acids and total ester, hop aroma and sulfur compounds) are calculated from multiple individually measured compounds.

As a first step in identifying relationships between chemical properties, we determined correlations between the concentrations of the compounds (Fig.  1 , upper panel, Supplementary Data  1 and 2 , and Supplementary Fig.  S2 . For the sake of clarity, only a subset of the measured compounds is shown in Fig.  1 ). Compounds of the same origin typically show a positive correlation, while absence of correlation hints at parameters varying independently. For example, the hop aroma compounds citronellol, and alpha-terpineol show moderate correlations with each other (Spearman’s rho=0.39 and 0.57), but not with the bittering hop component iso-alpha acids (Spearman’s rho=0.16 and −0.07). This illustrates how brewers can independently modify hop aroma and bitterness by selecting hop varieties and dosage time. If hops are added early in the boiling phase, chemical conversions increase bitterness while aromas evaporate, conversely, late addition of hops preserves aroma but limits bitterness 51 . Similarly, hop-derived iso-alpha acids show a strong anti-correlation with lactic acid and acetic acid, likely reflecting growth inhibition of lactic acid and acetic acid bacteria, or the consequent use of fewer hops in sour beer styles, such as West Flanders ales and Fruit beers, that rely on these bacteria for their distinct flavors 52 . Finally, yeast-derived esters (ethyl acetate, ethyl decanoate, ethyl hexanoate, ethyl octanoate) and alcohols (ethanol, isoamyl alcohol, isobutanol, and glycerol), correlate with Spearman coefficients above 0.5, suggesting that these secondary metabolites are correlated with the yeast genetic background and/or fermentation parameters and may be difficult to influence individually, although the choice of yeast strain may offer some control 53 .

Spearman rank correlations are shown. Descriptors are grouped according to their origin (malt (blue), hops (green), yeast (red), wild flora (yellow), Others (black)), and sensory aspect (aroma, taste, palate, and overall appreciation). Please note that for the chemical compounds, for the sake of clarity, only a subset of the total number of measured compounds is shown, with an emphasis on the key compounds for each source. For more details, see the main text and Methods section. Chemical data can be found in Supplementary Data  1 , correlations between all chemical compounds are depicted in Supplementary Fig.  S2 and correlation values can be found in Supplementary Data  2 . See Supplementary Data  4 for sensory panel assessments and Supplementary Data  5 for correlation values between all sensory descriptors.

Interestingly, different beer styles show distinct patterns for some flavor compounds (Supplementary Fig.  S3 ). These observations agree with expectations for key beer styles, and serve as a control for our measurements. For instance, Stouts generally show high values for color (darker), while hoppy beers contain elevated levels of iso-alpha acids, compounds associated with bitter hop taste. Acetic and lactic acid are not prevalent in most beers, with notable exceptions such as Kriek, Lambic, Faro, West Flanders ales and Flanders Old Brown, which use acid-producing bacteria ( Lactobacillus and Pediococcus ) or unconventional yeast ( Brettanomyces ) 54 , 55 . Glycerol, ethanol and esters show similar distributions across all beer styles, reflecting their common origin as products of yeast metabolism during fermentation 45 , 53 . Finally, low/no-alcohol beers contain low concentrations of glycerol and esters. This is in line with the production process for most of the low/no-alcohol beers in our dataset, which are produced through limiting fermentation or by stripping away alcohol via evaporation or dialysis, with both methods having the unintended side-effect of reducing the amount of flavor compounds in the final beer 56 , 57 .

Besides expected associations, our data also reveals less trivial associations between beer styles and specific parameters. For example, geraniol and citronellol, two monoterpenoids responsible for citrus, floral and rose flavors and characteristic of Citra hops, are found in relatively high amounts in Christmas, Saison, and Brett/co-fermented beers, where they may originate from terpenoid-rich spices such as coriander seeds instead of hops 58 .

Tasting panel assessments reveal sensorial relationships in beer

To assess the sensory profile of each beer, a trained tasting panel evaluated each of the 250 beers for 50 sensory attributes, including different hop, malt and yeast flavors, off-flavors and spices. Panelists used a tasting sheet (Supplementary Data  3 ) to score the different attributes. Panel consistency was evaluated by repeating 12 samples across different sessions and performing ANOVA. In 95% of cases no significant difference was found across sessions ( p  > 0.05), indicating good panel consistency (Supplementary Table  S2 ).

Aroma and taste perception reported by the trained panel are often linked (Fig.  1 , bottom left panel and Supplementary Data  4 and 5 ), with high correlations between hops aroma and taste (Spearman’s rho=0.83). Bitter taste was found to correlate with hop aroma and taste in general (Spearman’s rho=0.80 and 0.69), and particularly with “grassy” noble hops (Spearman’s rho=0.75). Barnyard flavor, most often associated with sour beers, is identified together with stale hops (Spearman’s rho=0.97) that are used in these beers. Lactic and acetic acid, which often co-occur, are correlated (Spearman’s rho=0.66). Interestingly, sweetness and bitterness are anti-correlated (Spearman’s rho = −0.48), confirming the hypothesis that they mask each other 59 , 60 . Beer body is highly correlated with alcohol (Spearman’s rho = 0.79), and overall appreciation is found to correlate with multiple aspects that describe beer mouthfeel (alcohol, carbonation; Spearman’s rho= 0.32, 0.39), as well as with hop and ester aroma intensity (Spearman’s rho=0.39 and 0.35).

Similar to the chemical analyses, sensorial analyses confirmed typical features of specific beer styles (Supplementary Fig.  S4 ). For example, sour beers (Faro, Flanders Old Brown, Fruit beer, Kriek, Lambic, West Flanders ale) were rated acidic, with flavors of both acetic and lactic acid. Hoppy beers were found to be bitter and showed hop-associated aromas like citrus and tropical fruit. Malt taste is most detected among scotch, stout/porters, and strong ales, while low/no-alcohol beers, which often have a reputation for being ‘worty’ (reminiscent of unfermented, sweet malt extract) appear in the middle. Unsurprisingly, hop aromas are most strongly detected among hoppy beers. Like its chemical counterpart (Supplementary Fig.  S3 ), acidity shows a right-skewed distribution, with the most acidic beers being Krieks, Lambics, and West Flanders ales.

Tasting panel assessments of specific flavors correlate with chemical composition

We find that the concentrations of several chemical compounds strongly correlate with specific aroma or taste, as evaluated by the tasting panel (Fig.  2 , Supplementary Fig.  S5 , Supplementary Data  6 ). In some cases, these correlations confirm expectations and serve as a useful control for data quality. For example, iso-alpha acids, the bittering compounds in hops, strongly correlate with bitterness (Spearman’s rho=0.68), while ethanol and glycerol correlate with tasters’ perceptions of alcohol and body, the mouthfeel sensation of fullness (Spearman’s rho=0.82/0.62 and 0.72/0.57 respectively) and darker color from roasted malts is a good indication of malt perception (Spearman’s rho=0.54).

Heatmap colors indicate Spearman’s Rho. Axes are organized according to sensory categories (aroma, taste, mouthfeel, overall), chemical categories and chemical sources in beer (malt (blue), hops (green), yeast (red), wild flora (yellow), Others (black)). See Supplementary Data  6 for all correlation values.

Interestingly, for some relationships between chemical compounds and perceived flavor, correlations are weaker than expected. For example, the rose-smelling phenethyl acetate only weakly correlates with floral aroma. This hints at more complex relationships and interactions between compounds and suggests a need for a more complex model than simple correlations. Lastly, we uncovered unexpected correlations. For instance, the esters ethyl decanoate and ethyl octanoate appear to correlate slightly with hop perception and bitterness, possibly due to their fruity flavor. Iron is anti-correlated with hop aromas and bitterness, most likely because it is also anti-correlated with iso-alpha acids. This could be a sign of metal chelation of hop acids 61 , given that our analyses measure unbound hop acids and total iron content, or could result from the higher iron content in dark and Fruit beers, which typically have less hoppy and bitter flavors 62 .

Public consumer reviews complement expert panel data

To complement and expand the sensory data of our trained tasting panel, we collected 180,000 reviews of our 250 beers from the online consumer review platform RateBeer. This provided numerical scores for beer appearance, aroma, taste, palate, overall quality as well as the average overall score.

Public datasets are known to suffer from biases, such as price, cult status and psychological conformity towards previous ratings of a product. For example, prices correlate with appreciation scores for these online consumer reviews (rho=0.49, Supplementary Fig.  S6 ), but not for our trained tasting panel (rho=0.19). This suggests that prices affect consumer appreciation, which has been reported in wine 63 , while blind tastings are unaffected. Moreover, we observe that some beer styles, like lagers and non-alcoholic beers, generally receive lower scores, reflecting that online reviewers are mostly beer aficionados with a preference for specialty beers over lager beers. In general, we find a modest correlation between our trained panel’s overall appreciation score and the online consumer appreciation scores (Fig.  3 , rho=0.29). Apart from the aforementioned biases in the online datasets, serving temperature, sample freshness and surroundings, which are all tightly controlled during the tasting panel sessions, can vary tremendously across online consumers and can further contribute to (among others, appreciation) differences between the two categories of tasters. Importantly, in contrast to the overall appreciation scores, for many sensory aspects the results from the professional panel correlated well with results obtained from RateBeer reviews. Correlations were highest for features that are relatively easy to recognize even for untrained tasters, like bitterness, sweetness, alcohol and malt aroma (Fig.  3 and below).

RateBeer text mining results can be found in Supplementary Data  7 . Rho values shown are Spearman correlation values, with asterisks indicating significant correlations ( p  < 0.05, two-sided). All p values were smaller than 0.001, except for Esters aroma (0.0553), Esters taste (0.3275), Esters aroma—banana (0.0019), Coriander (0.0508) and Diacetyl (0.0134).

Besides collecting consumer appreciation from these online reviews, we developed automated text analysis tools to gather additional data from review texts (Supplementary Data  7 ). Processing review texts on the RateBeer database yielded comparable results to the scores given by the trained panel for many common sensory aspects, including acidity, bitterness, sweetness, alcohol, malt, and hop tastes (Fig.  3 ). This is in line with what would be expected, since these attributes require less training for accurate assessment and are less influenced by environmental factors such as temperature, serving glass and odors in the environment. Consumer reviews also correlate well with our trained panel for 4-vinyl guaiacol, a compound associated with a very characteristic aroma. By contrast, correlations for more specific aromas like ester, coriander or diacetyl are underrepresented in the online reviews, underscoring the importance of using a trained tasting panel and standardized tasting sheets with explicit factors to be scored for evaluating specific aspects of a beer. Taken together, our results suggest that public reviews are trustworthy for some, but not all, flavor features and can complement or substitute taste panel data for these sensory aspects.

Models can predict beer sensory profiles from chemical data

The rich datasets of chemical analyses, tasting panel assessments and public reviews gathered in the first part of this study provided us with a unique opportunity to develop predictive models that link chemical data to sensorial features. Given the complexity of beer flavor, basic statistical tools such as correlations or linear regression may not always be the most suitable for making accurate predictions. Instead, we applied different machine learning models that can model both simple linear and complex interactive relationships. Specifically, we constructed a set of regression models to predict (a) trained panel scores for beer flavor and quality and (b) public reviews’ appreciation scores from beer chemical profiles. We trained and tested 10 different models (Methods), 3 linear regression-based models (simple linear regression with first-order interactions (LR), lasso regression with first-order interactions (Lasso), partial least squares regressor (PLSR)), 5 decision tree models (AdaBoost regressor (ABR), extra trees (ET), gradient boosting regressor (GBR), random forest (RF) and XGBoost regressor (XGBR)), 1 support vector regression (SVR), and 1 artificial neural network (ANN) model.

To compare the performance of our machine learning models, the dataset was randomly split into a training and test set, stratified by beer style. After a model was trained on data in the training set, its performance was evaluated on its ability to predict the test dataset obtained from multi-output models (based on the coefficient of determination, see Methods). Additionally, individual-attribute models were ranked per descriptor and the average rank was calculated, as proposed by Korneva et al. 64 . Importantly, both ways of evaluating the models’ performance agreed in general. Performance of the different models varied (Table  1 ). It should be noted that all models perform better at predicting RateBeer results than results from our trained tasting panel. One reason could be that sensory data is inherently variable, and this variability is averaged out with the large number of public reviews from RateBeer. Additionally, all tree-based models perform better at predicting taste than aroma. Linear models (LR) performed particularly poorly, with negative R 2 values, due to severe overfitting (training set R 2  = 1). Overfitting is a common issue in linear models with many parameters and limited samples, especially with interaction terms further amplifying the number of parameters. L1 regularization (Lasso) successfully overcomes this overfitting, out-competing multiple tree-based models on the RateBeer dataset. Similarly, the dimensionality reduction of PLSR avoids overfitting and improves performance, to some extent. Still, tree-based models (ABR, ET, GBR, RF and XGBR) show the best performance, out-competing the linear models (LR, Lasso, PLSR) commonly used in sensory science 65 .

GBR models showed the best overall performance in predicting sensory responses from chemical information, with R 2 values up to 0.75 depending on the predicted sensory feature (Supplementary Table  S4 ). The GBR models predict consumer appreciation (RateBeer) better than our trained panel’s appreciation (R 2 value of 0.67 compared to R 2 value of 0.09) (Supplementary Table  S3 and Supplementary Table  S4 ). ANN models showed intermediate performance, likely because neural networks typically perform best with larger datasets 66 . The SVR shows intermediate performance, mostly due to the weak predictions of specific attributes that lower the overall performance (Supplementary Table  S4 ).

Model dissection identifies specific, unexpected compounds as drivers of consumer appreciation

Next, we leveraged our models to infer important contributors to sensory perception and consumer appreciation. Consumer preference is a crucial sensory aspects, because a product that shows low consumer appreciation scores often does not succeed commercially 25 . Additionally, the requirement for a large number of representative evaluators makes consumer trials one of the more costly and time-consuming aspects of product development. Hence, a model for predicting chemical drivers of overall appreciation would be a welcome addition to the available toolbox for food development and optimization.

Since GBR models on our RateBeer dataset showed the best overall performance, we focused on these models. Specifically, we used two approaches to identify important contributors. First, rankings of the most important predictors for each sensorial trait in the GBR models were obtained based on impurity-based feature importance (mean decrease in impurity). High-ranked parameters were hypothesized to be either the true causal chemical properties underlying the trait, to correlate with the actual causal properties, or to take part in sensory interactions affecting the trait 67 (Fig.  4A ). In a second approach, we used SHAP 68 to determine which parameters contributed most to the model for making predictions of consumer appreciation (Fig.  4B ). SHAP calculates parameter contributions to model predictions on a per-sample basis, which can be aggregated into an importance score.

A The impurity-based feature importance (mean deviance in impurity, MDI) calculated from the Gradient Boosting Regression (GBR) model predicting RateBeer appreciation scores. The top 15 highest ranked chemical properties are shown. B SHAP summary plot for the top 15 parameters contributing to our GBR model. Each point on the graph represents a sample from our dataset. The color represents the concentration of that parameter, with bluer colors representing low values and redder colors representing higher values. Greater absolute values on the horizontal axis indicate a higher impact of the parameter on the prediction of the model. C Spearman correlations between the 15 most important chemical properties and consumer overall appreciation. Numbers indicate the Spearman Rho correlation coefficient, and the rank of this correlation compared to all other correlations. The top 15 important compounds were determined using SHAP (panel B).

Both approaches identified ethyl acetate as the most predictive parameter for beer appreciation (Fig.  4 ). Ethyl acetate is the most abundant ester in beer with a typical ‘fruity’, ‘solvent’ and ‘alcoholic’ flavor, but is often considered less important than other esters like isoamyl acetate. The second most important parameter identified by SHAP is ethanol, the most abundant beer compound after water. Apart from directly contributing to beer flavor and mouthfeel, ethanol drastically influences the physical properties of beer, dictating how easily volatile compounds escape the beer matrix to contribute to beer aroma 69 . Importantly, it should also be noted that the importance of ethanol for appreciation is likely inflated by the very low appreciation scores of non-alcoholic beers (Supplementary Fig.  S4 ). Despite not often being considered a driver of beer appreciation, protein level also ranks highly in both approaches, possibly due to its effect on mouthfeel and body 70 . Lactic acid, which contributes to the tart taste of sour beers, is the fourth most important parameter identified by SHAP, possibly due to the generally high appreciation of sour beers in our dataset.

Interestingly, some of the most important predictive parameters for our model are not well-established as beer flavors or are even commonly regarded as being negative for beer quality. For example, our models identify methanethiol and ethyl phenyl acetate, an ester commonly linked to beer staling 71 , as a key factor contributing to beer appreciation. Although there is no doubt that high concentrations of these compounds are considered unpleasant, the positive effects of modest concentrations are not yet known 72 , 73 .

To compare our approach to conventional statistics, we evaluated how well the 15 most important SHAP-derived parameters correlate with consumer appreciation (Fig.  4C ). Interestingly, only 6 of the properties derived by SHAP rank amongst the top 15 most correlated parameters. For some chemical compounds, the correlations are so low that they would have likely been considered unimportant. For example, lactic acid, the fourth most important parameter, shows a bimodal distribution for appreciation, with sour beers forming a separate cluster, that is missed entirely by the Spearman correlation. Additionally, the correlation plots reveal outliers, emphasizing the need for robust analysis tools. Together, this highlights the need for alternative models, like the Gradient Boosting model, that better grasp the complexity of (beer) flavor.

Finally, to observe the relationships between these chemical properties and their predicted targets, partial dependence plots were constructed for the six most important predictors of consumer appreciation 74 , 75 , 76 (Supplementary Fig.  S7 ). One-way partial dependence plots show how a change in concentration affects the predicted appreciation. These plots reveal an important limitation of our models: appreciation predictions remain constant at ever-increasing concentrations. This implies that once a threshold concentration is reached, further increasing the concentration does not affect appreciation. This is false, as it is well-documented that certain compounds become unpleasant at high concentrations, including ethyl acetate (‘nail polish’) 77 and methanethiol (‘sulfury’ and ‘rotten cabbage’) 78 . The inability of our models to grasp that flavor compounds have optimal levels, above which they become negative, is a consequence of working with commercial beer brands where (off-)flavors are rarely too high to negatively impact the product. The two-way partial dependence plots show how changing the concentration of two compounds influences predicted appreciation, visualizing their interactions (Supplementary Fig.  S7 ). In our case, the top 5 parameters are dominated by additive or synergistic interactions, with high concentrations for both compounds resulting in the highest predicted appreciation.

To assess the robustness of our best-performing models and model predictions, we performed 100 iterations of the GBR, RF and ET models. In general, all iterations of the models yielded similar performance (Supplementary Fig.  S8 ). Moreover, the main predictors (including the top predictors ethanol and ethyl acetate) remained virtually the same, especially for GBR and RF. For the iterations of the ET model, we did observe more variation in the top predictors, which is likely a consequence of the model’s inherent random architecture in combination with co-correlations between certain predictors. However, even in this case, several of the top predictors (ethanol and ethyl acetate) remain unchanged, although their rank in importance changes (Supplementary Fig.  S8 ).

Next, we investigated if a combination of RateBeer and trained panel data into one consolidated dataset would lead to stronger models, under the hypothesis that such a model would suffer less from bias in the datasets. A GBR model was trained to predict appreciation on the combined dataset. This model underperformed compared to the RateBeer model, both in the native case and when including a dataset identifier (R 2  = 0.67, 0.26 and 0.42 respectively). For the latter, the dataset identifier is the most important feature (Supplementary Fig.  S9 ), while most of the feature importance remains unchanged, with ethyl acetate and ethanol ranking highest, like in the original model trained only on RateBeer data. It seems that the large variation in the panel dataset introduces noise, weakening the models’ performances and reliability. In addition, it seems reasonable to assume that both datasets are fundamentally different, with the panel dataset obtained by blind tastings by a trained professional panel.

Lastly, we evaluated whether beer style identifiers would further enhance the model’s performance. A GBR model was trained with parameters that explicitly encoded the styles of the samples. This did not improve model performance (R2 = 0.66 with style information vs R2 = 0.67). The most important chemical features are consistent with the model trained without style information (eg. ethanol and ethyl acetate), and with the exception of the most preferred (strong ale) and least preferred (low/no-alcohol) styles, none of the styles were among the most important features (Supplementary Fig.  S9 , Supplementary Table  S5 and S6 ). This is likely due to a combination of style-specific chemical signatures, such as iso-alpha acids and lactic acid, that implicitly convey style information to the original models, as well as the low number of samples belonging to some styles, making it difficult for the model to learn style-specific patterns. Moreover, beer styles are not rigorously defined, with some styles overlapping in features and some beers being misattributed to a specific style, all of which leads to more noise in models that use style parameters.

Model validation

To test if our predictive models give insight into beer appreciation, we set up experiments aimed at improving existing commercial beers. We specifically selected overall appreciation as the trait to be examined because of its complexity and commercial relevance. Beer flavor comprises a complex bouquet rather than single aromas and tastes 53 . Hence, adding a single compound to the extent that a difference is noticeable may lead to an unbalanced, artificial flavor. Therefore, we evaluated the effect of combinations of compounds. Because Blond beers represent the most extensive style in our dataset, we selected a beer from this style as the starting material for these experiments (Beer 64 in Supplementary Data  1 ).

In the first set of experiments, we adjusted the concentrations of compounds that made up the most important predictors of overall appreciation (ethyl acetate, ethanol, lactic acid, ethyl phenyl acetate) together with correlated compounds (ethyl hexanoate, isoamyl acetate, glycerol), bringing them up to 95 th percentile ethanol-normalized concentrations (Methods) within the Blond group (‘Spiked’ concentration in Fig.  5A ). Compared to controls, the spiked beers were found to have significantly improved overall appreciation among trained panelists, with panelist noting increased intensity of ester flavors, sweetness, alcohol, and body fullness (Fig.  5B ). To disentangle the contribution of ethanol to these results, a second experiment was performed without the addition of ethanol. This resulted in a similar outcome, including increased perception of alcohol and overall appreciation.

Adding the top chemical compounds, identified as best predictors of appreciation by our model, into poorly appreciated beers results in increased appreciation from our trained panel. Results of sensory tests between base beers and those spiked with compounds identified as the best predictors by the model. A Blond and Non/Low-alcohol (0.0% ABV) base beers were brought up to 95th-percentile ethanol-normalized concentrations within each style. B For each sensory attribute, tasters indicated the more intense sample and selected the sample they preferred. The numbers above the bars correspond to the p values that indicate significant changes in perceived flavor (two-sided binomial test: alpha 0.05, n  = 20 or 13).

In a last experiment, we tested whether using the model’s predictions can boost the appreciation of a non-alcoholic beer (beer 223 in Supplementary Data  1 ). Again, the addition of a mixture of predicted compounds (omitting ethanol, in this case) resulted in a significant increase in appreciation, body, ester flavor and sweetness.

Predicting flavor and consumer appreciation from chemical composition is one of the ultimate goals of sensory science. A reliable, systematic and unbiased way to link chemical profiles to flavor and food appreciation would be a significant asset to the food and beverage industry. Such tools would substantially aid in quality control and recipe development, offer an efficient and cost-effective alternative to pilot studies and consumer trials and would ultimately allow food manufacturers to produce superior, tailor-made products that better meet the demands of specific consumer groups more efficiently.

A limited set of studies have previously tried, to varying degrees of success, to predict beer flavor and beer popularity based on (a limited set of) chemical compounds and flavors 79 , 80 . Current sensitive, high-throughput technologies allow measuring an unprecedented number of chemical compounds and properties in a large set of samples, yielding a dataset that can train models that help close the gaps between chemistry and flavor, even for a complex natural product like beer. To our knowledge, no previous research gathered data at this scale (250 samples, 226 chemical parameters, 50 sensory attributes and 5 consumer scores) to disentangle and validate the chemical aspects driving beer preference using various machine-learning techniques. We find that modern machine learning models outperform conventional statistical tools, such as correlations and linear models, and can successfully predict flavor appreciation from chemical composition. This could be attributed to the natural incorporation of interactions and non-linear or discontinuous effects in machine learning models, which are not easily grasped by the linear model architecture. While linear models and partial least squares regression represent the most widespread statistical approaches in sensory science, in part because they allow interpretation 65 , 81 , 82 , modern machine learning methods allow for building better predictive models while preserving the possibility to dissect and exploit the underlying patterns. Of the 10 different models we trained, tree-based models, such as our best performing GBR, showed the best overall performance in predicting sensory responses from chemical information, outcompeting artificial neural networks. This agrees with previous reports for models trained on tabular data 83 . Our results are in line with the findings of Colantonio et al. who also identified the gradient boosting architecture as performing best at predicting appreciation and flavor (of tomatoes and blueberries, in their specific study) 26 . Importantly, besides our larger experimental scale, we were able to directly confirm our models’ predictions in vivo.

Our study confirms that flavor compound concentration does not always correlate with perception, suggesting complex interactions that are often missed by more conventional statistics and simple models. Specifically, we find that tree-based algorithms may perform best in developing models that link complex food chemistry with aroma. Furthermore, we show that massive datasets of untrained consumer reviews provide a valuable source of data, that can complement or even replace trained tasting panels, especially for appreciation and basic flavors, such as sweetness and bitterness. This holds despite biases that are known to occur in such datasets, such as price or conformity bias. Moreover, GBR models predict taste better than aroma. This is likely because taste (e.g. bitterness) often directly relates to the corresponding chemical measurements (e.g., iso-alpha acids), whereas such a link is less clear for aromas, which often result from the interplay between multiple volatile compounds. We also find that our models are best at predicting acidity and alcohol, likely because there is a direct relation between the measured chemical compounds (acids and ethanol) and the corresponding perceived sensorial attribute (acidity and alcohol), and because even untrained consumers are generally able to recognize these flavors and aromas.

The predictions of our final models, trained on review data, hold even for blind tastings with small groups of trained tasters, as demonstrated by our ability to validate specific compounds as drivers of beer flavor and appreciation. Since adding a single compound to the extent of a noticeable difference may result in an unbalanced flavor profile, we specifically tested our identified key drivers as a combination of compounds. While this approach does not allow us to validate if a particular single compound would affect flavor and/or appreciation, our experiments do show that this combination of compounds increases consumer appreciation.

It is important to stress that, while it represents an important step forward, our approach still has several major limitations. A key weakness of the GBR model architecture is that amongst co-correlating variables, the largest main effect is consistently preferred for model building. As a result, co-correlating variables often have artificially low importance scores, both for impurity and SHAP-based methods, like we observed in the comparison to the more randomized Extra Trees models. This implies that chemicals identified as key drivers of a specific sensory feature by GBR might not be the true causative compounds, but rather co-correlate with the actual causative chemical. For example, the high importance of ethyl acetate could be (partially) attributed to the total ester content, ethanol or ethyl hexanoate (rho=0.77, rho=0.72 and rho=0.68), while ethyl phenylacetate could hide the importance of prenyl isobutyrate and ethyl benzoate (rho=0.77 and rho=0.76). Expanding our GBR model to include beer style as a parameter did not yield additional power or insight. This is likely due to style-specific chemical signatures, such as iso-alpha acids and lactic acid, that implicitly convey style information to the original model, as well as the smaller sample size per style, limiting the power to uncover style-specific patterns. This can be partly attributed to the curse of dimensionality, where the high number of parameters results in the models mainly incorporating single parameter effects, rather than complex interactions such as style-dependent effects 67 . A larger number of samples may overcome some of these limitations and offer more insight into style-specific effects. On the other hand, beer style is not a rigid scientific classification, and beers within one style often differ a lot, which further complicates the analysis of style as a model factor.

Our study is limited to beers from Belgian breweries. Although these beers cover a large portion of the beer styles available globally, some beer styles and consumer patterns may be missing, while other features might be overrepresented. For example, many Belgian ales exhibit yeast-driven flavor profiles, which is reflected in the chemical drivers of appreciation discovered by this study. In future work, expanding the scope to include diverse markets and beer styles could lead to the identification of even more drivers of appreciation and better models for special niche products that were not present in our beer set.

In addition to inherent limitations of GBR models, there are also some limitations associated with studying food aroma. Even if our chemical analyses measured most of the known aroma compounds, the total number of flavor compounds in complex foods like beer is still larger than the subset we were able to measure in this study. For example, hop-derived thiols, that influence flavor at very low concentrations, are notoriously difficult to measure in a high-throughput experiment. Moreover, consumer perception remains subjective and prone to biases that are difficult to avoid. It is also important to stress that the models are still immature and that more extensive datasets will be crucial for developing more complete models in the future. Besides more samples and parameters, our dataset does not include any demographic information about the tasters. Including such data could lead to better models that grasp external factors like age and culture. Another limitation is that our set of beers consists of high-quality end-products and lacks beers that are unfit for sale, which limits the current model in accurately predicting products that are appreciated very badly. Finally, while models could be readily applied in quality control, their use in sensory science and product development is restrained by their inability to discern causal relationships. Given that the models cannot distinguish compounds that genuinely drive consumer perception from those that merely correlate, validation experiments are essential to identify true causative compounds.

Despite the inherent limitations, dissection of our models enabled us to pinpoint specific molecules as potential drivers of beer aroma and consumer appreciation, including compounds that were unexpected and would not have been identified using standard approaches. Important drivers of beer appreciation uncovered by our models include protein levels, ethyl acetate, ethyl phenyl acetate and lactic acid. Currently, many brewers already use lactic acid to acidify their brewing water and ensure optimal pH for enzymatic activity during the mashing process. Our results suggest that adding lactic acid can also improve beer appreciation, although its individual effect remains to be tested. Interestingly, ethanol appears to be unnecessary to improve beer appreciation, both for blond beer and alcohol-free beer. Given the growing consumer interest in alcohol-free beer, with a predicted annual market growth of >7% 84 , it is relevant for brewers to know what compounds can further increase consumer appreciation of these beers. Hence, our model may readily provide avenues to further improve the flavor and consumer appreciation of both alcoholic and non-alcoholic beers, which is generally considered one of the key challenges for future beer production.

Whereas we see a direct implementation of our results for the development of superior alcohol-free beverages and other food products, our study can also serve as a stepping stone for the development of novel alcohol-containing beverages. We want to echo the growing body of scientific evidence for the negative effects of alcohol consumption, both on the individual level by the mutagenic, teratogenic and carcinogenic effects of ethanol 85 , 86 , as well as the burden on society caused by alcohol abuse and addiction. We encourage the use of our results for the production of healthier, tastier products, including novel and improved beverages with lower alcohol contents. Furthermore, we strongly discourage the use of these technologies to improve the appreciation or addictive properties of harmful substances.

The present work demonstrates that despite some important remaining hurdles, combining the latest developments in chemical analyses, sensory analysis and modern machine learning methods offers exciting avenues for food chemistry and engineering. Soon, these tools may provide solutions in quality control and recipe development, as well as new approaches to sensory science and flavor research.

Beer selection

250 commercial Belgian beers were selected to cover the broad diversity of beer styles and corresponding diversity in chemical composition and aroma. See Supplementary Fig.  S1 .

Chemical dataset

Sample preparation.

Beers within their expiration date were purchased from commercial retailers. Samples were prepared in biological duplicates at room temperature, unless explicitly stated otherwise. Bottle pressure was measured with a manual pressure device (Steinfurth Mess-Systeme GmbH) and used to calculate CO 2 concentration. The beer was poured through two filter papers (Macherey-Nagel, 500713032 MN 713 ¼) to remove carbon dioxide and prevent spontaneous foaming. Samples were then prepared for measurements by targeted Headspace-Gas Chromatography-Flame Ionization Detector/Flame Photometric Detector (HS-GC-FID/FPD), Headspace-Solid Phase Microextraction-Gas Chromatography-Mass Spectrometry (HS-SPME-GC-MS), colorimetric analysis, enzymatic analysis, Near-Infrared (NIR) analysis, as described in the sections below. The mean values of biological duplicates are reported for each compound.

HS-GC-FID/FPD

HS-GC-FID/FPD (Shimadzu GC 2010 Plus) was used to measure higher alcohols, acetaldehyde, esters, 4-vinyl guaicol, and sulfur compounds. Each measurement comprised 5 ml of sample pipetted into a 20 ml glass vial containing 1.75 g NaCl (VWR, 27810.295). 100 µl of 2-heptanol (Sigma-Aldrich, H3003) (internal standard) solution in ethanol (Fisher Chemical, E/0650DF/C17) was added for a final concentration of 2.44 mg/L. Samples were flushed with nitrogen for 10 s, sealed with a silicone septum, stored at −80 °C and analyzed in batches of 20.

The GC was equipped with a DB-WAXetr column (length, 30 m; internal diameter, 0.32 mm; layer thickness, 0.50 µm; Agilent Technologies, Santa Clara, CA, USA) to the FID and an HP-5 column (length, 30 m; internal diameter, 0.25 mm; layer thickness, 0.25 µm; Agilent Technologies, Santa Clara, CA, USA) to the FPD. N 2 was used as the carrier gas. Samples were incubated for 20 min at 70 °C in the headspace autosampler (Flow rate, 35 cm/s; Injection volume, 1000 µL; Injection mode, split; Combi PAL autosampler, CTC analytics, Switzerland). The injector, FID and FPD temperatures were kept at 250 °C. The GC oven temperature was first held at 50 °C for 5 min and then allowed to rise to 80 °C at a rate of 5 °C/min, followed by a second ramp of 4 °C/min until 200 °C kept for 3 min and a final ramp of (4 °C/min) until 230 °C for 1 min. Results were analyzed with the GCSolution software version 2.4 (Shimadzu, Kyoto, Japan). The GC was calibrated with a 5% EtOH solution (VWR International) containing the volatiles under study (Supplementary Table  S7 ).

HS-SPME-GC-MS

HS-SPME-GC-MS (Shimadzu GCMS-QP-2010 Ultra) was used to measure additional volatile compounds, mainly comprising terpenoids and esters. Samples were analyzed by HS-SPME using a triphase DVB/Carboxen/PDMS 50/30 μm SPME fiber (Supelco Co., Bellefonte, PA, USA) followed by gas chromatography (Thermo Fisher Scientific Trace 1300 series, USA) coupled to a mass spectrometer (Thermo Fisher Scientific ISQ series MS) equipped with a TriPlus RSH autosampler. 5 ml of degassed beer sample was placed in 20 ml vials containing 1.75 g NaCl (VWR, 27810.295). 5 µl internal standard mix was added, containing 2-heptanol (1 g/L) (Sigma-Aldrich, H3003), 4-fluorobenzaldehyde (1 g/L) (Sigma-Aldrich, 128376), 2,3-hexanedione (1 g/L) (Sigma-Aldrich, 144169) and guaiacol (1 g/L) (Sigma-Aldrich, W253200) in ethanol (Fisher Chemical, E/0650DF/C17). Each sample was incubated at 60 °C in the autosampler oven with constant agitation. After 5 min equilibration, the SPME fiber was exposed to the sample headspace for 30 min. The compounds trapped on the fiber were thermally desorbed in the injection port of the chromatograph by heating the fiber for 15 min at 270 °C.

The GC-MS was equipped with a low polarity RXi-5Sil MS column (length, 20 m; internal diameter, 0.18 mm; layer thickness, 0.18 µm; Restek, Bellefonte, PA, USA). Injection was performed in splitless mode at 320 °C, a split flow of 9 ml/min, a purge flow of 5 ml/min and an open valve time of 3 min. To obtain a pulsed injection, a programmed gas flow was used whereby the helium gas flow was set at 2.7 mL/min for 0.1 min, followed by a decrease in flow of 20 ml/min to the normal 0.9 mL/min. The temperature was first held at 30 °C for 3 min and then allowed to rise to 80 °C at a rate of 7 °C/min, followed by a second ramp of 2 °C/min till 125 °C and a final ramp of 8 °C/min with a final temperature of 270 °C.

Mass acquisition range was 33 to 550 amu at a scan rate of 5 scans/s. Electron impact ionization energy was 70 eV. The interface and ion source were kept at 275 °C and 250 °C, respectively. A mix of linear n-alkanes (from C7 to C40, Supelco Co.) was injected into the GC-MS under identical conditions to serve as external retention index markers. Identification and quantification of the compounds were performed using an in-house developed R script as described in Goelen et al. and Reher et al. 87 , 88 (for package information, see Supplementary Table  S8 ). Briefly, chromatograms were analyzed using AMDIS (v2.71) 89 to separate overlapping peaks and obtain pure compound spectra. The NIST MS Search software (v2.0 g) in combination with the NIST2017, FFNSC3 and Adams4 libraries were used to manually identify the empirical spectra, taking into account the expected retention time. After background subtraction and correcting for retention time shifts between samples run on different days based on alkane ladders, compound elution profiles were extracted and integrated using a file with 284 target compounds of interest, which were either recovered in our identified AMDIS list of spectra or were known to occur in beer. Compound elution profiles were estimated for every peak in every chromatogram over a time-restricted window using weighted non-negative least square analysis after which peak areas were integrated 87 , 88 . Batch effect correction was performed by normalizing against the most stable internal standard compound, 4-fluorobenzaldehyde. Out of all 284 target compounds that were analyzed, 167 were visually judged to have reliable elution profiles and were used for final analysis.

Discrete photometric and enzymatic analysis

Discrete photometric and enzymatic analysis (Thermo Scientific TM Gallery TM Plus Beermaster Discrete Analyzer) was used to measure acetic acid, ammonia, beta-glucan, iso-alpha acids, color, sugars, glycerol, iron, pH, protein, and sulfite. 2 ml of sample volume was used for the analyses. Information regarding the reagents and standard solutions used for analyses and calibrations is included in Supplementary Table  S7 and Supplementary Table  S9 .

NIR analyses

NIR analysis (Anton Paar Alcolyzer Beer ME System) was used to measure ethanol. Measurements comprised 50 ml of sample, and a 10% EtOH solution was used for calibration.

Correlation calculations

Pairwise Spearman Rank correlations were calculated between all chemical properties.

Sensory dataset

Trained panel.

Our trained tasting panel consisted of volunteers who gave prior verbal informed consent. All compounds used for the validation experiment were of food-grade quality. The tasting sessions were approved by the Social and Societal Ethics Committee of the KU Leuven (G-2022-5677-R2(MAR)). All online reviewers agreed to the Terms and Conditions of the RateBeer website.

Sensory analysis was performed according to the American Society of Brewing Chemists (ASBC) Sensory Analysis Methods 90 . 30 volunteers were screened through a series of triangle tests. The sixteen most sensitive and consistent tasters were retained as taste panel members. The resulting panel was diverse in age [22–42, mean: 29], sex [56% male] and nationality [7 different countries]. The panel developed a consensus vocabulary to describe beer aroma, taste and mouthfeel. Panelists were trained to identify and score 50 different attributes, using a 7-point scale to rate attributes’ intensity. The scoring sheet is included as Supplementary Data  3 . Sensory assessments took place between 10–12 a.m. The beers were served in black-colored glasses. Per session, between 5 and 12 beers of the same style were tasted at 12 °C to 16 °C. Two reference beers were added to each set and indicated as ‘Reference 1 & 2’, allowing panel members to calibrate their ratings. Not all panelists were present at every tasting. Scores were scaled by standard deviation and mean-centered per taster. Values are represented as z-scores and clustered by Euclidean distance. Pairwise Spearman correlations were calculated between taste and aroma sensory attributes. Panel consistency was evaluated by repeating samples on different sessions and performing ANOVA to identify differences, using the ‘stats’ package (v4.2.2) in R (for package information, see Supplementary Table  S8 ).

Online reviews from a public database

The ‘scrapy’ package in Python (v3.6) (for package information, see Supplementary Table  S8 ). was used to collect 232,288 online reviews (mean=922, min=6, max=5343) from RateBeer, an online beer review database. Each review entry comprised 5 numerical scores (appearance, aroma, taste, palate and overall quality) and an optional review text. The total number of reviews per reviewer was collected separately. Numerical scores were scaled and centered per rater, and mean scores were calculated per beer.

For the review texts, the language was estimated using the packages ‘langdetect’ and ‘langid’ in Python. Reviews that were classified as English by both packages were kept. Reviewers with fewer than 100 entries overall were discarded. 181,025 reviews from >6000 reviewers from >40 countries remained. Text processing was done using the ‘nltk’ package in Python. Texts were corrected for slang and misspellings; proper nouns and rare words that are relevant to the beer context were specified and kept as-is (‘Chimay’,’Lambic’, etc.). A dictionary of semantically similar sensorial terms, for example ‘floral’ and ‘flower’, was created and collapsed together into one term. Words were stemmed and lemmatized to avoid identifying words such as ‘acid’ and ‘acidity’ as separate terms. Numbers and punctuation were removed.

Sentences from up to 50 randomly chosen reviews per beer were manually categorized according to the aspect of beer they describe (appearance, aroma, taste, palate, overall quality—not to be confused with the 5 numerical scores described above) or flagged as irrelevant if they contained no useful information. If a beer contained fewer than 50 reviews, all reviews were manually classified. This labeled data set was used to train a model that classified the rest of the sentences for all beers 91 . Sentences describing taste and aroma were extracted, and term frequency–inverse document frequency (TFIDF) was implemented to calculate enrichment scores for sensorial words per beer.

The sex of the tasting subject was not considered when building our sensory database. Instead, results from different panelists were averaged, both for our trained panel (56% male, 44% female) and the RateBeer reviews (70% male, 30% female for RateBeer as a whole).

Beer price collection and processing

Beer prices were collected from the following stores: Colruyt, Delhaize, Total Wine, BeerHawk, The Belgian Beer Shop, The Belgian Shop, and Beer of Belgium. Where applicable, prices were converted to Euros and normalized per liter. Spearman correlations were calculated between these prices and mean overall appreciation scores from RateBeer and the taste panel, respectively.

Pairwise Spearman Rank correlations were calculated between all sensory properties.

Machine learning models

Predictive modeling of sensory profiles from chemical data.

Regression models were constructed to predict (a) trained panel scores for beer flavors and quality from beer chemical profiles and (b) public reviews’ appreciation scores from beer chemical profiles. Z-scores were used to represent sensory attributes in both data sets. Chemical properties with log-normal distributions (Shapiro-Wilk test, p  <  0.05 ) were log-transformed. Missing chemical measurements (0.1% of all data) were replaced with mean values per attribute. Observations from 250 beers were randomly separated into a training set (70%, 175 beers) and a test set (30%, 75 beers), stratified per beer style. Chemical measurements (p = 231) were normalized based on the training set average and standard deviation. In total, three linear regression-based models: linear regression with first-order interaction terms (LR), lasso regression with first-order interaction terms (Lasso) and partial least squares regression (PLSR); five decision tree models, Adaboost regressor (ABR), Extra Trees (ET), Gradient Boosting regressor (GBR), Random Forest (RF) and XGBoost regressor (XGBR); one support vector machine model (SVR) and one artificial neural network model (ANN) were trained. The models were implemented using the ‘scikit-learn’ package (v1.2.2) and ‘xgboost’ package (v1.7.3) in Python (v3.9.16). Models were trained, and hyperparameters optimized, using five-fold cross-validated grid search with the coefficient of determination (R 2 ) as the evaluation metric. The ANN (scikit-learn’s MLPRegressor) was optimized using Bayesian Tree-Structured Parzen Estimator optimization with the ‘Optuna’ Python package (v3.2.0). Individual models were trained per attribute, and a multi-output model was trained on all attributes simultaneously.

Model dissection

GBR was found to outperform other methods, resulting in models with the highest average R 2 values in both trained panel and public review data sets. Impurity-based rankings of the most important predictors for each predicted sensorial trait were obtained using the ‘scikit-learn’ package. To observe the relationships between these chemical properties and their predicted targets, partial dependence plots (PDP) were constructed for the six most important predictors of consumer appreciation 74 , 75 .

The ‘SHAP’ package in Python (v0.41.0) was implemented to provide an alternative ranking of predictor importance and to visualize the predictors’ effects as a function of their concentration 68 .

Validation of causal chemical properties

To validate the effects of the most important model features on predicted sensory attributes, beers were spiked with the chemical compounds identified by the models and descriptive sensory analyses were carried out according to the American Society of Brewing Chemists (ASBC) protocol 90 .

Compound spiking was done 30 min before tasting. Compounds were spiked into fresh beer bottles, that were immediately resealed and inverted three times. Fresh bottles of beer were opened for the same duration, resealed, and inverted thrice, to serve as controls. Pairs of spiked samples and controls were served simultaneously, chilled and in dark glasses as outlined in the Trained panel section above. Tasters were instructed to select the glass with the higher flavor intensity for each attribute (directional difference test 92 ) and to select the glass they prefer.

The final concentration after spiking was equal to the within-style average, after normalizing by ethanol concentration. This was done to ensure balanced flavor profiles in the final spiked beer. The same methods were applied to improve a non-alcoholic beer. Compounds were the following: ethyl acetate (Merck KGaA, W241415), ethyl hexanoate (Merck KGaA, W243906), isoamyl acetate (Merck KGaA, W205508), phenethyl acetate (Merck KGaA, W285706), ethanol (96%, Colruyt), glycerol (Merck KGaA, W252506), lactic acid (Merck KGaA, 261106).

Significant differences in preference or perceived intensity were determined by performing the two-sided binomial test on each attribute.

Reporting summary

Further information on research design is available in the  Nature Portfolio Reporting Summary linked to this article.

Data availability

The data that support the findings of this work are available in the Supplementary Data files and have been deposited to Zenodo under accession code 10653704 93 . The RateBeer scores data are under restricted access, they are not publicly available as they are property of RateBeer (ZX Ventures, USA). Access can be obtained from the authors upon reasonable request and with permission of RateBeer (ZX Ventures, USA).  Source data are provided with this paper.

Code availability

The code for training the machine learning models, analyzing the models, and generating the figures has been deposited to Zenodo under accession code 10653704 93 .

Tieman, D. et al. A chemical genetic roadmap to improved tomato flavor. Science 355 , 391–394 (2017).

Article   ADS   CAS   PubMed   Google Scholar  

Plutowska, B. & Wardencki, W. Application of gas chromatography–olfactometry (GC–O) in analysis and quality assessment of alcoholic beverages – A review. Food Chem. 107 , 449–463 (2008).

Article   CAS   Google Scholar  

Legin, A., Rudnitskaya, A., Seleznev, B. & Vlasov, Y. Electronic tongue for quality assessment of ethanol, vodka and eau-de-vie. Anal. Chim. Acta 534 , 129–135 (2005).

Loutfi, A., Coradeschi, S., Mani, G. K., Shankar, P. & Rayappan, J. B. B. Electronic noses for food quality: A review. J. Food Eng. 144 , 103–111 (2015).

Ahn, Y.-Y., Ahnert, S. E., Bagrow, J. P. & Barabási, A.-L. Flavor network and the principles of food pairing. Sci. Rep. 1 , 196 (2011).

Article   CAS   PubMed   PubMed Central   Google Scholar  

Bartoshuk, L. M. & Klee, H. J. Better fruits and vegetables through sensory analysis. Curr. Biol. 23 , R374–R378 (2013).

Article   CAS   PubMed   Google Scholar  

Piggott, J. R. Design questions in sensory and consumer science. Food Qual. Prefer. 3293 , 217–220 (1995).

Article   Google Scholar  

Kermit, M. & Lengard, V. Assessing the performance of a sensory panel-panellist monitoring and tracking. J. Chemom. 19 , 154–161 (2005).

Cook, D. J., Hollowood, T. A., Linforth, R. S. T. & Taylor, A. J. Correlating instrumental measurements of texture and flavour release with human perception. Int. J. Food Sci. Technol. 40 , 631–641 (2005).

Chinchanachokchai, S., Thontirawong, P. & Chinchanachokchai, P. A tale of two recommender systems: The moderating role of consumer expertise on artificial intelligence based product recommendations. J. Retail. Consum. Serv. 61 , 1–12 (2021).

Ross, C. F. Sensory science at the human-machine interface. Trends Food Sci. Technol. 20 , 63–72 (2009).

Chambers, E. IV & Koppel, K. Associations of volatile compounds with sensory aroma and flavor: The complex nature of flavor. Molecules 18 , 4887–4905 (2013).

Pinu, F. R. Metabolomics—The new frontier in food safety and quality research. Food Res. Int. 72 , 80–81 (2015).

Danezis, G. P., Tsagkaris, A. S., Brusic, V. & Georgiou, C. A. Food authentication: state of the art and prospects. Curr. Opin. Food Sci. 10 , 22–31 (2016).

Shepherd, G. M. Smell images and the flavour system in the human brain. Nature 444 , 316–321 (2006).

Meilgaard, M. C. Prediction of flavor differences between beers from their chemical composition. J. Agric. Food Chem. 30 , 1009–1017 (1982).

Xu, L. et al. Widespread receptor-driven modulation in peripheral olfactory coding. Science 368 , eaaz5390 (2020).

Kupferschmidt, K. Following the flavor. Science 340 , 808–809 (2013).

Billesbølle, C. B. et al. Structural basis of odorant recognition by a human odorant receptor. Nature 615 , 742–749 (2023).

Article   ADS   PubMed   PubMed Central   Google Scholar  

Smith, B. Perspective: Complexities of flavour. Nature 486 , S6–S6 (2012).

Pfister, P. et al. Odorant receptor inhibition is fundamental to odor encoding. Curr. Biol. 30 , 2574–2587 (2020).

Moskowitz, H. W., Kumaraiah, V., Sharma, K. N., Jacobs, H. L. & Sharma, S. D. Cross-cultural differences in simple taste preferences. Science 190 , 1217–1218 (1975).

Eriksson, N. et al. A genetic variant near olfactory receptor genes influences cilantro preference. Flavour 1 , 22 (2012).

Ferdenzi, C. et al. Variability of affective responses to odors: Culture, gender, and olfactory knowledge. Chem. Senses 38 , 175–186 (2013).

Article   PubMed   Google Scholar  

Lawless, H. T. & Heymann, H. Sensory evaluation of food: Principles and practices. (Springer, New York, NY). https://doi.org/10.1007/978-1-4419-6488-5 (2010).

Colantonio, V. et al. Metabolomic selection for enhanced fruit flavor. Proc. Natl. Acad. Sci. 119 , e2115865119 (2022).

Fritz, F., Preissner, R. & Banerjee, P. VirtualTaste: a web server for the prediction of organoleptic properties of chemical compounds. Nucleic Acids Res 49 , W679–W684 (2021).

Tuwani, R., Wadhwa, S. & Bagler, G. BitterSweet: Building machine learning models for predicting the bitter and sweet taste of small molecules. Sci. Rep. 9 , 1–13 (2019).

Dagan-Wiener, A. et al. Bitter or not? BitterPredict, a tool for predicting taste from chemical structure. Sci. Rep. 7 , 1–13 (2017).

Pallante, L. et al. Toward a general and interpretable umami taste predictor using a multi-objective machine learning approach. Sci. Rep. 12 , 1–11 (2022).

Malavolta, M. et al. A survey on computational taste predictors. Eur. Food Res. Technol. 248 , 2215–2235 (2022).

Lee, B. K. et al. A principal odor map unifies diverse tasks in olfactory perception. Science 381 , 999–1006 (2023).

Mayhew, E. J. et al. Transport features predict if a molecule is odorous. Proc. Natl. Acad. Sci. 119 , e2116576119 (2022).

Niu, Y. et al. Sensory evaluation of the synergism among ester odorants in light aroma-type liquor by odor threshold, aroma intensity and flash GC electronic nose. Food Res. Int. 113 , 102–114 (2018).

Yu, P., Low, M. Y. & Zhou, W. Design of experiments and regression modelling in food flavour and sensory analysis: A review. Trends Food Sci. Technol. 71 , 202–215 (2018).

Oladokun, O. et al. The impact of hop bitter acid and polyphenol profiles on the perceived bitterness of beer. Food Chem. 205 , 212–220 (2016).

Linforth, R., Cabannes, M., Hewson, L., Yang, N. & Taylor, A. Effect of fat content on flavor delivery during consumption: An in vivo model. J. Agric. Food Chem. 58 , 6905–6911 (2010).

Guo, S., Na Jom, K. & Ge, Y. Influence of roasting condition on flavor profile of sunflower seeds: A flavoromics approach. Sci. Rep. 9 , 11295 (2019).

Ren, Q. et al. The changes of microbial community and flavor compound in the fermentation process of Chinese rice wine using Fagopyrum tataricum grain as feedstock. Sci. Rep. 9 , 3365 (2019).

Hastie, T., Friedman, J. & Tibshirani, R. The Elements of Statistical Learning. (Springer, New York, NY). https://doi.org/10.1007/978-0-387-21606-5 (2001).

Dietz, C., Cook, D., Huismann, M., Wilson, C. & Ford, R. The multisensory perception of hop essential oil: a review. J. Inst. Brew. 126 , 320–342 (2020).

CAS   Google Scholar  

Roncoroni, Miguel & Verstrepen, Kevin Joan. Belgian Beer: Tested and Tasted. (Lannoo, 2018).

Meilgaard, M. Flavor chemistry of beer: Part II: Flavor and threshold of 239 aroma volatiles. in (1975).

Bokulich, N. A. & Bamforth, C. W. The microbiology of malting and brewing. Microbiol. Mol. Biol. Rev. MMBR 77 , 157–172 (2013).

Dzialo, M. C., Park, R., Steensels, J., Lievens, B. & Verstrepen, K. J. Physiology, ecology and industrial applications of aroma formation in yeast. FEMS Microbiol. Rev. 41 , S95–S128 (2017).

Article   PubMed   PubMed Central   Google Scholar  

Datta, A. et al. Computer-aided food engineering. Nat. Food 3 , 894–904 (2022).

American Society of Brewing Chemists. Beer Methods. (American Society of Brewing Chemists, St. Paul, MN, U.S.A.).

Olaniran, A. O., Hiralal, L., Mokoena, M. P. & Pillay, B. Flavour-active volatile compounds in beer: production, regulation and control. J. Inst. Brew. 123 , 13–23 (2017).

Verstrepen, K. J. et al. Flavor-active esters: Adding fruitiness to beer. J. Biosci. Bioeng. 96 , 110–118 (2003).

Meilgaard, M. C. Flavour chemistry of beer. part I: flavour interaction between principal volatiles. Master Brew. Assoc. Am. Tech. Q 12 , 107–117 (1975).

Briggs, D. E., Boulton, C. A., Brookes, P. A. & Stevens, R. Brewing 227–254. (Woodhead Publishing). https://doi.org/10.1533/9781855739062.227 (2004).

Bossaert, S., Crauwels, S., De Rouck, G. & Lievens, B. The power of sour - A review: Old traditions, new opportunities. BrewingScience 72 , 78–88 (2019).

Google Scholar  

Verstrepen, K. J. et al. Flavor active esters: Adding fruitiness to beer. J. Biosci. Bioeng. 96 , 110–118 (2003).

Snauwaert, I. et al. Microbial diversity and metabolite composition of Belgian red-brown acidic ales. Int. J. Food Microbiol. 221 , 1–11 (2016).

Spitaels, F. et al. The microbial diversity of traditional spontaneously fermented lambic beer. PLoS ONE 9 , e95384 (2014).

Blanco, C. A., Andrés-Iglesias, C. & Montero, O. Low-alcohol Beers: Flavor Compounds, Defects, and Improvement Strategies. Crit. Rev. Food Sci. Nutr. 56 , 1379–1388 (2016).

Jackowski, M. & Trusek, A. Non-Alcohol. beer Prod. – Overv. 20 , 32–38 (2018).

Takoi, K. et al. The contribution of geraniol metabolism to the citrus flavour of beer: Synergy of geraniol and β-citronellol under coexistence with excess linalool. J. Inst. Brew. 116 , 251–260 (2010).

Kroeze, J. H. & Bartoshuk, L. M. Bitterness suppression as revealed by split-tongue taste stimulation in humans. Physiol. Behav. 35 , 779–783 (1985).

Mennella, J. A. et al. A spoonful of sugar helps the medicine go down”: Bitter masking bysucrose among children and adults. Chem. Senses 40 , 17–25 (2015).

Wietstock, P., Kunz, T., Perreira, F. & Methner, F.-J. Metal chelation behavior of hop acids in buffered model systems. BrewingScience 69 , 56–63 (2016).

Sancho, D., Blanco, C. A., Caballero, I. & Pascual, A. Free iron in pale, dark and alcohol-free commercial lager beers. J. Sci. Food Agric. 91 , 1142–1147 (2011).

Rodrigues, H. & Parr, W. V. Contribution of cross-cultural studies to understanding wine appreciation: A review. Food Res. Int. 115 , 251–258 (2019).

Korneva, E. & Blockeel, H. Towards better evaluation of multi-target regression models. in ECML PKDD 2020 Workshops (eds. Koprinska, I. et al.) 353–362 (Springer International Publishing, Cham, 2020). https://doi.org/10.1007/978-3-030-65965-3_23 .

Gastón Ares. Mathematical and Statistical Methods in Food Science and Technology. (Wiley, 2013).

Grinsztajn, L., Oyallon, E. & Varoquaux, G. Why do tree-based models still outperform deep learning on tabular data? Preprint at http://arxiv.org/abs/2207.08815 (2022).

Gries, S. T. Statistics for Linguistics with R: A Practical Introduction. in Statistics for Linguistics with R (De Gruyter Mouton, 2021). https://doi.org/10.1515/9783110718256 .

Lundberg, S. M. et al. From local explanations to global understanding with explainable AI for trees. Nat. Mach. Intell. 2 , 56–67 (2020).

Ickes, C. M. & Cadwallader, K. R. Effects of ethanol on flavor perception in alcoholic beverages. Chemosens. Percept. 10 , 119–134 (2017).

Kato, M. et al. Influence of high molecular weight polypeptides on the mouthfeel of commercial beer. J. Inst. Brew. 127 , 27–40 (2021).

Wauters, R. et al. Novel Saccharomyces cerevisiae variants slow down the accumulation of staling aldehydes and improve beer shelf-life. Food Chem. 398 , 1–11 (2023).

Li, H., Jia, S. & Zhang, W. Rapid determination of low-level sulfur compounds in beer by headspace gas chromatography with a pulsed flame photometric detector. J. Am. Soc. Brew. Chem. 66 , 188–191 (2008).

Dercksen, A., Laurens, J., Torline, P., Axcell, B. C. & Rohwer, E. Quantitative analysis of volatile sulfur compounds in beer using a membrane extraction interface. J. Am. Soc. Brew. Chem. 54 , 228–233 (1996).

Molnar, C. Interpretable Machine Learning: A Guide for Making Black-Box Models Interpretable. (2020).

Zhao, Q. & Hastie, T. Causal interpretations of black-box models. J. Bus. Econ. Stat. Publ. Am. Stat. Assoc. 39 , 272–281 (2019).

Article   MathSciNet   Google Scholar  

Hastie, T., Tibshirani, R. & Friedman, J. The Elements of Statistical Learning. (Springer, 2019).

Labrado, D. et al. Identification by NMR of key compounds present in beer distillates and residual phases after dealcoholization by vacuum distillation. J. Sci. Food Agric. 100 , 3971–3978 (2020).

Lusk, L. T., Kay, S. B., Porubcan, A. & Ryder, D. S. Key olfactory cues for beer oxidation. J. Am. Soc. Brew. Chem. 70 , 257–261 (2012).

Gonzalez Viejo, C., Torrico, D. D., Dunshea, F. R. & Fuentes, S. Development of artificial neural network models to assess beer acceptability based on sensory properties using a robotic pourer: A comparative model approach to achieve an artificial intelligence system. Beverages 5 , 33 (2019).

Gonzalez Viejo, C., Fuentes, S., Torrico, D. D., Godbole, A. & Dunshea, F. R. Chemical characterization of aromas in beer and their effect on consumers liking. Food Chem. 293 , 479–485 (2019).

Gilbert, J. L. et al. Identifying breeding priorities for blueberry flavor using biochemical, sensory, and genotype by environment analyses. PLOS ONE 10 , 1–21 (2015).

Goulet, C. et al. Role of an esterase in flavor volatile variation within the tomato clade. Proc. Natl. Acad. Sci. 109 , 19009–19014 (2012).

Article   ADS   CAS   PubMed   PubMed Central   Google Scholar  

Borisov, V. et al. Deep Neural Networks and Tabular Data: A Survey. IEEE Trans. Neural Netw. Learn. Syst. 1–21 https://doi.org/10.1109/TNNLS.2022.3229161 (2022).

Statista. Statista Consumer Market Outlook: Beer - Worldwide.

Seitz, H. K. & Stickel, F. Molecular mechanisms of alcoholmediated carcinogenesis. Nat. Rev. Cancer 7 , 599–612 (2007).

Voordeckers, K. et al. Ethanol exposure increases mutation rate through error-prone polymerases. Nat. Commun. 11 , 3664 (2020).

Goelen, T. et al. Bacterial phylogeny predicts volatile organic compound composition and olfactory response of an aphid parasitoid. Oikos 129 , 1415–1428 (2020).

Article   ADS   Google Scholar  

Reher, T. et al. Evaluation of hop (Humulus lupulus) as a repellent for the management of Drosophila suzukii. Crop Prot. 124 , 104839 (2019).

Stein, S. E. An integrated method for spectrum extraction and compound identification from gas chromatography/mass spectrometry data. J. Am. Soc. Mass Spectrom. 10 , 770–781 (1999).

American Society of Brewing Chemists. Sensory Analysis Methods. (American Society of Brewing Chemists, St. Paul, MN, U.S.A., 1992).

McAuley, J., Leskovec, J. & Jurafsky, D. Learning Attitudes and Attributes from Multi-Aspect Reviews. Preprint at https://doi.org/10.48550/arXiv.1210.3926 (2012).

Meilgaard, M. C., Carr, B. T. & Carr, B. T. Sensory Evaluation Techniques. (CRC Press, Boca Raton). https://doi.org/10.1201/b16452 (2014).

Schreurs, M. et al. Data from: Predicting and improving complex beer flavor through machine learning. Zenodo https://doi.org/10.5281/zenodo.10653704 (2024).

Download references

Acknowledgements

We thank all lab members for their discussions and thank all tasting panel members for their contributions. Special thanks go out to Dr. Karin Voordeckers for her tremendous help in proofreading and improving the manuscript. M.S. was supported by a Baillet-Latour fellowship, L.C. acknowledges financial support from KU Leuven (C16/17/006), F.A.T. was supported by a PhD fellowship from FWO (1S08821N). Research in the lab of K.J.V. is supported by KU Leuven, FWO, VIB, VLAIO and the Brewing Science Serves Health Fund. Research in the lab of T.W. is supported by FWO (G.0A51.15) and KU Leuven (C16/17/006).

Author information

These authors contributed equally: Michiel Schreurs, Supinya Piampongsant, Miguel Roncoroni.

Authors and Affiliations

VIB—KU Leuven Center for Microbiology, Gaston Geenslaan 1, B-3001, Leuven, Belgium

Michiel Schreurs, Supinya Piampongsant, Miguel Roncoroni, Lloyd Cool, Beatriz Herrera-Malaver, Florian A. Theßeling & Kevin J. Verstrepen

CMPG Laboratory of Genetics and Genomics, KU Leuven, Gaston Geenslaan 1, B-3001, Leuven, Belgium

Leuven Institute for Beer Research (LIBR), Gaston Geenslaan 1, B-3001, Leuven, Belgium

Laboratory of Socioecology and Social Evolution, KU Leuven, Naamsestraat 59, B-3000, Leuven, Belgium

Lloyd Cool, Christophe Vanderaa & Tom Wenseleers

VIB Bioinformatics Core, VIB, Rijvisschestraat 120, B-9052, Ghent, Belgium

Łukasz Kreft & Alexander Botzki

AB InBev SA/NV, Brouwerijplein 1, B-3000, Leuven, Belgium

Philippe Malcorps & Luk Daenen

You can also search for this author in PubMed   Google Scholar

Contributions

S.P., M.S. and K.J.V. conceived the experiments. S.P., M.S. and K.J.V. designed the experiments. S.P., M.S., M.R., B.H. and F.A.T. performed the experiments. S.P., M.S., L.C., C.V., L.K., A.B., P.M., L.D., T.W. and K.J.V. contributed analysis ideas. S.P., M.S., L.C., C.V., T.W. and K.J.V. analyzed the data. All authors contributed to writing the manuscript.

Corresponding author

Correspondence to Kevin J. Verstrepen .

Ethics declarations

Competing interests.

K.J.V. is affiliated with bar.on. The other authors declare no competing interests.

Peer review

Peer review information.

Nature Communications thanks Florian Bauer, Andrew John Macintosh and the other, anonymous, reviewer(s) for their contribution to the peer review of this work. A peer review file is available.

Additional information

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

Supplementary information, peer review file, description of additional supplementary files, supplementary data 1, supplementary data 2, supplementary data 3, supplementary data 4, supplementary data 5, supplementary data 6, supplementary data 7, reporting summary, source data, source data, rights and permissions.

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ .

Reprints and permissions

About this article

Cite this article.

Schreurs, M., Piampongsant, S., Roncoroni, M. et al. Predicting and improving complex beer flavor through machine learning. Nat Commun 15 , 2368 (2024). https://doi.org/10.1038/s41467-024-46346-0

Download citation

Received : 30 October 2023

Accepted : 21 February 2024

Published : 26 March 2024

DOI : https://doi.org/10.1038/s41467-024-46346-0

Share this article

Anyone you share the following link with will be able to read this content:

Sorry, a shareable link is not currently available for this article.

Provided by the Springer Nature SharedIt content-sharing initiative

By submitting a comment you agree to abide by our Terms and Community Guidelines . If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.

Quick links

• Explore articles by subject
• Guide to authors
• Editorial policies

Sign up for the Nature Briefing: Translational Research newsletter — top stories in biotechnology, drug discovery and pharma.

• Search Menu
• Volume 2024, Issue 1, 2024 (In Progress)
• Volume 2023, Issue 1, 2023
• Special Issues
• Author Guidelines
• Journal Policies
• Submission Site
• Open Access
• Why publish with this journal?
• Call For Papers
• About Neuroscience of Consciousness
• About the Association for the Scientific Study of Consciousness
• Editorial Board
• Advertising and Corporate Services
• Journals Career Network
• Self-Archiving Policy
• Journals on Oxford Academic
• Books on Oxford Academic

Article Contents

Conflict of interest, data availability statement, where is the ghost in the shell.

• Article contents
• Figures & tables
• Supplementary Data

Veith Weilnhammer, Where is the ghost in the shell?, Neuroscience of Consciousness , Volume 2024, Issue 1, 2024, niae015, https://doi.org/10.1093/nc/niae015

• Permissions Icon Permissions

The neurobiology of conscious experience is one of the fundamental mysteries in science. New evidence suggests that transcranial magnetic stimulation of the parietal cortex does not modulate bistable perception. What does this mean for the neural correlates of consciousness, and how should we search for them?

The 1995 animated film Ghost in the Shell follows a cyborg named Major Motoko Kusanagi in a futuristic world, where technology is seamlessly integrated with human biology ( Oshi 1995 ). Kusanagi ponders if her artificial brain generates true consciousness, questioning whether there is a ghost within her cybernetic shell . This provokes existential questions about the nature of consciousness: How do physical brains produce subjective experience? What are the essential features of biological or artificial systems that give rise to awareness? Can we upgrade consciousness?

Causal interventions on the artificial brains of the future may reveal how subjective experience emerges from the interacting components of a conscious machine. But progress can already be made in the biological brains of the present: in an elegant and rigorous study published in this issue of Neuroscience of Consciousness , Schauer and colleagues report that non-invasive brain stimulation of the parietal cortex does not modulate bistable perception. To understand their contribution in context, I will outline what bistable perception can teach us about conscious experience, and how causal interventions will bring us closer to identifying the neurocomputational correlates of consciousness.

During bistable perception, observers experience spontaneous transitions between two mutually exclusive interpretations of an ambiguous sensory input ( Blake and Logothetis 2002 ). This happens, for example, when 2D stimuli cause us to perceive 3D objects ( Fig. 1a ), when static stimuli create apparent motion, or when conflicting images are presented to each eye ( Blake and Logothetis 2002 ). In all these cases, conscious experience changes over time while the physical input remains constant. The phenomenon of bistable perception thus reveals that the correlates of consciousness go beyond a fixed mapping from sensory information to neural responses ( Brascamp et al. 2018 ). This has sparked more than three decades of experiments on how the neural representation of the conscious or dominant interpretation differs from the unconscious or suppressed alternative, and what drives transitions between the two ( Brascamp et al. 2018 ).

Concept. (a) Bistable perception happens when an ambiguous input is compatible with two mutually exclusive interpretations. In the example of the Necker cube, a 2D lattice (left) induces that experience of one of two cubes that differ with respect to spatial orientation (right). Bistable stimuli create a dissociation between the input (lower panel), which remains constant, and conscious experience, which changes over time. (b) Predictive processing posits that the dominant interpretation of a bistable stimulus (upper panel) reflects a prediction about the most likely cause of the physical input. Balanced stimulus evidence for the dominant and suppressed alternatives (lower panel) generates a prediction error that destabilizes perception, ultimately leading to a transition in conscious experience. (c) fMRI reveals a widespread representation of prediction errors during bistable perception (shown here for an individual participant from an experiment on the neural correlates of ambiguous structure-from-motion Weilnhammer et al. 2021 ), ranging from feature-selective regions in visual cortex to parietal and frontal cortex. From the perspective of model-based imaging, much less is known about the representation of the corresponding predictions (computed here as the negative prediction error response). Based on the behavioral effects of non-invasive brain stimulation, previous research has proposed that parietal cortex is divided into a posterior subregion in the SPL that encodes prediction errors, and an anterior subregion in the IPS that represents predictions during bistable perception. According to this model, inhibitory non-invasive brain stimulation of the SPL should therefore reduce the frequency of spontaneous transitions in conscious experience. In contrast, disrupting neural activity in the IPS should increase the frequency of spontaneous transitions in conscious experience

What we know so far is that sensory ambiguity elicits activity far beyond sensory cortices: while neurons in parietal and frontal cortex tend to follow the contents of conscious experience more closely, neural responses to the suppressed alternative can be found even at the latest stages of cortical processing ( Kapoor et al. 2022 ). Compared to perceptual events induced by changes in visual stimulation, spontaneous transitions in conscious experience go along with increased brain activity in the frontoparietal network ( Brascamp et al. 2018 ). Moreover, non-invasive brain stimulation of the frontoparietal network alters the dynamics of bistable perception ( Brascamp et al. 2018 ), consistent with the hypothesis that regions in parietal and frontal cortex interact with sensory brain regions to gate access to consciousness ( Weilnhammer et al. 2021 , Dwarakanath et al. 2023 ).

Bistable perception is therefore not just an illusion that dissociates subjective experience from sensory information, but exposes a fundamental computational aspect of conscious experience. The stream of consciousness is informative : even though the data registered by our senses are inherently ambiguous, we are consciously aware of only one interpretation of the world, while competing alternatives are suppressed ( Hohwy 2012 ). Conscious contents can thus be thought of as predictions about the sensory environment that are updated in response to prediction errors induced by conflicting information ( Hohwy 2012 ) ( Fig. 1b ). This predictive processing view suggests a functional division within the neural correlates of consciousness, with predictive neurons that stabilize experience against random fluctuations in the input, and error neurons that support sensitivity to change. Their interaction is exposed during bistable perception, where neural responses to the suppressed alternative can be understood as prediction errors. Such prediction errors accumulate over time, destabilize the dominant interpretation of the input, and cause transitions in conscious experience ( Hohwy et al. 2008 , Weilnhammer et al. 2021 ).

Computational models are able to quantify dynamic prediction errors from the sequence of conscious experiences that participants report during bistable perception ( Weilnhammer et al. 2017 ). These prediction errors successfully predict functional magnetic resonance imaging (fMRI) responses throughout the frontoparietal network ( Weilnhammer et al. 2021 ) ( Fig. 1c ). Inhibitory transcranial magnetic stimulation (TMS) of the inferior frontal cortex, the most reliable neural correlate of prediction errors during bistable perception ( Brascamp et al. 2018 ), reduces the frequency of spontaneous transitions in conscious experience ( Weilnhammer et al. 2021 ). Distinct representations of predictions and prediction errors may also explain why TMS of parietal cortex has opposing effects on conscious experience ( Brascamp et al. 2018 ), depending on whether neural activity is disrupted in a posterior subregion that represents destabilizing prediction errors ( Kanai et al. 2010 ) (superior parietal lobe, pSPL), or in an anterior subregion that is associated with predictions that stabilize perception ( Carmel et al. 2010 , Kanai et al. 2011 ) (inferior parietal sulcus, IPS).

Despite these advances, the functional significance of the frontoparietal network for bistable perception is far from understood. Its causal role has been disputed by studies that associate parietal and frontal brain activity with introspection and reporting behavior—cognitive processes that occur not as a cause of, but in response to transitions in conscious experience ( Brascamp et al. 2018 ). Moreover, non-invasive brain stimulation of the frontoparietal network has produced inconsistent results ( Carmel et al. 2010 , Kanai et al. 2010 , 2011 , Zaretskaya et al. 2010 , de Graaf et al. 2011 ), which may be explained by limited sample size, variability in the response to TMS ( Ozdemir et al. 2021 ), ongoing changes in dynamic brain state ( Watanabe 2021 ), the bistable paradigm used, or differences in the protocol and target of TMS.

Schauer and colleagues address this issue in an impressive systematic investigation on how parietal continuous theta-burst stimulation (cTBS), an inhibitory TMS protocol ( Huang et al. 2005 ), modulates bistable perception. They present data from three highly powered experiments in which they used (f)MRI-guided neuronavigation to ensure correct target localization, measured motor evoked potentials (MEPs) to assess cTBS response variability, controlled for unspecific effects via counter-balanced control stimulation at the vertex, and generalized across three bistable displays.

The data presented by Schauer and colleagues warrant the conclusion that ‘cTBS applied to parietal cortex is ineffective in modulating bistable perception’. In contradiction with the predictive processing hypothesis, Schauer and colleagues found no evidence for a functional division of parietal cortex into a posterior subregion in SPL that encodes destabilizing prediction errors ( Kanai et al. 2010 ), and an anterior subregion in IPS that represents stabilizing predictions. In an elegant set of control analyses, the authors confirm that this null result cannot be explained by inter-individual differences in the susceptibility to cTBS, which they measured by comparing MEP amplitudes before and after cTBS to motor cortex. Moreover, while the frequency of transitions in conscious experience was correlated across three bistable displays, suggesting a common neural substrate, parietal cTBS effects were not. These results are important and surprising, since there is robust correlational evidence for a functional fractionation of parietal cortex ( Megumi et al. 2015 , Sandberg et al. 2016 ). Moreover, parietal cortex encodes prediction error signals that can also be found in inferior frontal cortex, where they predict the degree to which cTBS slows down bistable perception ( Weilnhammer et al. 2021 ).

Given the large sample size reported by Schauer and colleagues, who did not find a significant cTBS effect even when pooling across experiments, it seems unlikely that interventions with even more power will reveal parietal subregions that have opposing causal roles during bistable perception. Instead, one avenue for future research may be to further increase the precision of non-invasive brain stimulation by computational modeling, which may help localize the neural correlates of predictions and predictions errors for fMRI-guided TMS in individual observers ( Weilnhammer et al. 2021 ) ( Fig. 1c ). Another promising direction may be to test whether the impact of parietal cortex on bistable perception depends on dynamic brain states in these regions ( Watanabe 2021 , Weilnhammer et al. 2023 ). Finally, causal experiments based on alternative non-invasive stimulation protocols ( Zaretskaya et al. 2010 ), invasive brain stimulation during neurosurgery or in non-human primates, as well as case–control studies in patients with structural lesions in the frontoparietal network (e.g. after ischemic stroke) may further disambiguate the role of frontoparietal cortex in bistable perception.

The impressive contribution by Schauer and colleagues indicates that the makers of Ghost in the Shell, which is set in the year 2029, were optimistic with respect to how quickly a mechanistic understanding of subjective experience would develop. At this time, it seems that we are still far away from dissecting the brain into individual subregions with distinct computational functions for consciousness. Systematic investigations like the study by Schauer and colleagues are therefore vital to inform our search for the neural correlates of conscious experience, and will pave the way toward non-invasive brain stimulation as an individualized treatment for people who suffer from altered states of consciousness such as hallucinations.

None declared.

VW was supported by a postdoctoral fellowship by the Leopoldina - German National Academy of Sciences, Grant Number: LPDS 2022-16.

The data underlying this article will be shared on reasonable request to the corresponding author.

Blake   R , Logothetis   NK . Visual competition . Nat Rev Neurosci   2002 ; 3 : 13 – 21 .

Google Scholar

Brascamp   J , Sterzer   P , Blake   R  et al.    Multistable perception and the role of the frontoparietal cortex in perceptual inference . Annu Rev Psychol   2018 ; 69 : 77 – 103 .

Carmel   D , Walsh   V , Lavie   N  et al.    Right parietal TMS shortens dominance durations in binocular rivalry . Curr Biol   2010 ; 20 : R799 – 800 .

de Graaf   TA , de Jong   MC , Goebel   R  et al.    On the functional relevance of frontal cortex for passive and voluntarily controlled bistable vision . Cereb Cortex   2011 ; 21 : 2322 – 31 .

Dwarakanath   A , Kapoor   V , Werner   J  et al.    Bistability of prefrontal states gates access to consciousness . Neuron   2023 ; 111 : 1666 – 83.e4 .

Hohwy   J . Attention and conscious perception in the hypothesis testing brain . Front Psychol   2012 ; 3 :96.

Hohwy   J , Roepstorff   A , Friston   K  et al.    Predictive coding explains binocular rivalry: an epistemological review . Cognition   2008 ; 108 : 687 – 701 .

Huang   YZ , Edwards   MJ , Rounis   E  et al.    Theta burst stimulation of the human motor cortex . Neuron   2005 ; 45 : 201 – 6 .

Kanai   R , Bahrami   B , Rees   G  et al.    Human parietal cortex structure predicts individual differences in perceptual rivalry . Curr Biol   2010 ; 20 : 1626 – 30 .

Kanai   R , Carmel   D , Bahrami   B  et al.    Structural and functional fractionation of right superior parietal cortex in bistable perception . Curr Biol   2011 ; 21 : R106 – 107 .

Kapoor   V , Dwarakanath   A , Safavi   S  et al.    Decoding internally generated transitions of conscious contents in the prefrontal cortex without subjective reports . Nat Commun   2022 ; 13 :1535.

Megumi   F , Bahrami   B , Kanai   R  et al.    Brain activity dynamics in human parietal regions during spontaneous switches in bistable perception . NeuroImage   2015 ; 107 : 190 – 7 .

Oshii   M . Ghost in the shell . Based on “Ghost in the Shell” by Masamune Shirow   1995 , Manga Entertainment.

Ozdemir   RA , Boucher   P , Fried   PJ  et al.    Reproducibility of cortical response modulation induced by intermittent and continuous theta-burst stimulation of the human motor cortex . Brain Stimul   2021 ; 14 : 949 – 64 .

Sandberg   K , Blicher   JU , Del Pin   SH  et al.    Improved estimates for the role of grey matter volume and GABA in bistable perception . Cortex   2016 ; 83 : 292 – 305 .

Watanabe   T . Causal roles of prefrontal cortex during spontaneous perceptual switching are determined by brain state dynamics . eLife   2021 ; 10 :e69079.

Weilnhammer   V , Fritsch   M , Chikermane   M  et al.    An active role of inferior frontal cortex in conscious experience . Curr Biol   2021 ; 31 : 2868 – 80.e8 .

Weilnhammer   V , Stuke   H , Hesselmann   G  et al.    A predictive coding account of bistable perception - a model-based fMRI study . PLoS Comput Biol   2017 ; 13 :e1005536.

Weilnhammer   V , Stuke   H , Standvoss   K  et al.    Sensory processing in humans and mice fluctuates between external and internal modes . PLoS Biol   2023 ; 21 :e3002410.

Zaretskaya   N , Thielscher   A , Logothetis   NK  et al.    Disrupting parietal function prolongs dominance durations in binocular rivalry . Curr Biol   2010 ; 20 : 2106 – 11 .

Email alerts

• Parietal theta burst TMS does not modulate bistable perception

Citing articles via

• About Association for the Scientific Study of Consciousness

Affiliations

• Online ISSN 2057-2107
• Copyright © 2024 Oxford University Press
• About Oxford Academic
• Publish journals with us
• University press partners
• What we publish
• New features  
• Open access
• Institutional account management
• Rights and permissions
• Get help with access
• Accessibility
• Advertising
• Media enquiries
• Oxford University Press
• Oxford Languages
• University of Oxford

Oxford University Press is a department of the University of Oxford. It furthers the University's objective of excellence in research, scholarship, and education by publishing worldwide

• Copyright © 2024 Oxford University Press
• Cookie settings
• Cookie policy
• Privacy policy
• Legal notice

This Feature Is Available To Subscribers Only

Sign In or Create an Account

This PDF is available to Subscribers Only

For full access to this pdf, sign in to an existing account, or purchase an annual subscription.

Soft Matter

Forced and spontaneous translocation dynamics of a semiflexible active polymer in two dimensions.

* Corresponding authors

a College of Chemistry, Sichuan University, Chengdu 610064, China E-mail: [email protected]

Polymer translocation is a fundamental topic in non-equilibrium physics and is crucially important to many biological processes in life. In the present work, we adopt two-dimensional Langevin dynamics simulations to study the forced and spontaneous translocation dynamics of an active filament. The influence of polymer stiffness on the underlying dynamics is explicitly analyzed. For the forced translocation, the results show a robust stiffness-induced inhibition, and the translocation time exhibits a dual-exponent scaling relationship with the bending modulus. Tension propagation (TP) is also examined, where we find prominent modifications in terms of both activity and stiffness. For spontaneous translocation into a pure solvent, the translocation time is almost independent of the polymer stiffness. However, when the polymer is translocated into a porous medium, an intriguing non-monotonic alteration of translocation time with increasing chain stiffness is demonstrated. The semiflexible chain is beneficial for translocation while the rigid chain is not conducive. Stiffness regulation on the diffusion dynamics of the polymer in porous media shows a consistent scenario. The interplay of activity, stiffness, and porous crowding provides a new mechanism for understanding the non-trivial translocation dynamics of an active filament in complex environments.

Article information

Download citation, permissions.

F. Tan, J. Wang, R. Yan and N. Zhao, Soft Matter , 2024,  20 , 1120 DOI: 10.1039/D3SM01409F

To request permission to reproduce material from this article, please go to the Copyright Clearance Center request page .

If you are an author contributing to an RSC publication, you do not need to request permission provided correct acknowledgement is given.

If you are the author of this article, you do not need to request permission to reproduce figures and diagrams provided correct acknowledgement is given. If you want to reproduce the whole article in a third-party publication (excluding your thesis/dissertation for which permission is not required) please go to the Copyright Clearance Center request page .

Read more about how to correctly acknowledge RSC content .

Social activity

Search articles by author, advertisements.