Umami Taste Intensity and ad Libitum Meal Intake

NCT ID: NCT07059117

Last Updated: 2025-08-17

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.

Recruitment Status

COMPLETED

Clinical Phase

NA

Total Enrollment

33 participants

Study Classification

INTERVENTIONAL

Study Start Date

2025-04-12

Study Completion Date

2025-05-23

Brief Summary

Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.

Background Sweet and salty tastes can influence food intake {Sørensen, 2003 #40}. Increased intensity of these tastes has been shown to decrease food intake and increase satiation compared to the less intense taste, independent of palatability {Bolhuis, 2010 #245;Bolhuis, 2011 #251;Chung, 2007 #253;Lucas, 1987 #258;Vickers, 1998 #252;Vickers, 1998 #249;Vickers, 2001 #246;Yeomans, 1998 #244}. Umami taste intensity has been shown to reduce subsequent food intake {Masic, 2014 #7}, especially when paired with protein content in foods {Masic, 2014 #6}. Taste can be related with nutrient content of the diet, with sweet foods having carbohydrates, salty foods containing sodium, and umami foods containing protein {Teo, 2018 #37}.

However, no study has yet investigated the impact of umami and food intake, using the approach of similar palatability and differing taste intensity levels {Forde, 2016 #254}. Given its relationship with nutrient signaling, it is important to explore the relationship between umami intensity and satiation. Therefore, this study aims to compare ad libitum food intake of two levels with similar palatability and differing umami taste intensities (high and low) to food intake from a meal with optimum taste intensity.

Methods Test session 1 Determine individual's most preferred level of umami taste in 10 risotto samples, use Booth's method {Booth, 1983 #247}. Samples will contain a fixed level of salt, and MSG concentrations ranging from 0.2-1.2 w/w%, based on the optimal amount of MSG added to enhance taste to be 0.1-0.8 w/w% {Wijayasekara, 2017 #70}. Per individual, samples that are closest to those situated at -3.5 and +3.5 from the optimum (at 7) will be selected (figure 1).

Healthy, normal weight participants will be included. Previous studies have applied this method in sweet and salty tastes with 15-59 participants {Bolhuis, 2010 #245;Bolhuis, 2011 #251;Bolhuis, 2012 #255;Vickers, 1998 #252;Vickers, 1998 #249;Vickers, 2001 #246}.

Test session 2, 3 and

In a randomized cross-over design, participants will receive the optimum, high and low MSG risotto. The following will be measured:

* Test meal consumption (primary outcome);
* Liking before meal;
* Liking after meal;
* Water consumption;
* Taste intensity ratings of the meal;
* Habitual dietary taste exposure (tasteFFQ).

Subjects will be asked to eat a similar breakfast and to not consume anything between breakfast and lunch session. They will also be asked to refrain from eating for one hour after the test session. Participants will be asked to fill in the tasteFFQ, to investigate the link between dietary taste patterns and hedonic umami taste ratings.

Data will be analyzed using Rstudio. First, normality will be assessed, and data will be normalized if needed. Difference in food intake in grams between the three intensities will be compared using ANOVA. A post-hoc test will be applied if statistical outcomes are significant. Categorical variables will be compared using Chi-square test.

Detailed Description

Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.

Conditions

See the medical conditions and disease areas that this research is targeting or investigating.

Taste Sensitivity Umami Taste Perception Food Intake Regulation Hedonic Function Palatability

Study Design

Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.

Allocation Method

RANDOMIZED

Intervention Model

CROSSOVER

Complete block randomized cross-over design.
Primary Study Purpose

BASIC_SCIENCE

Blinding Strategy

SINGLE

Participants

Study Groups

Review each arm or cohort in the study, along with the interventions and objectives associated with them.

Low umami intensity

The low umami intensity meal will have a taste intensity corresponding with the MSG concentration in the sample rated 1.85 units to the left on the Visual Analogue Scale (VAS) during the first test session in which umami taste preferences per individual will be assessed by hedonic mapping.

Group Type EXPERIMENTAL

Hedonic mapping

Intervention Type OTHER

During the first session, participants will be presented with risotto samples differing in MSG content and thus umami taste intensity, assigned based on Booth's method (Booth et al., 1983). Based on these individual ratings, umami taste intensities of the ad libitum test meals will be calculated per participant.

Ad libitum risotto test meal

Intervention Type OTHER

During the ad libitum test meal, participants will be presented with 800 grams of risotto with either high-, low-, or optimum umami taste intensity.

High umami intensity

The high umami intensity meal will have a taste intensity corresponding with the MSG concentration in the sample rated 1.85 units to right left on the Visual Analogue Scale (VAS) during the first test session in which umami taste preferences per individual will be assessed by hedonic mapping.

Group Type EXPERIMENTAL

Hedonic mapping

Intervention Type OTHER

During the first session, participants will be presented with risotto samples differing in MSG content and thus umami taste intensity, assigned based on Booth's method (Booth et al., 1983). Based on these individual ratings, umami taste intensities of the ad libitum test meals will be calculated per participant.

Ad libitum risotto test meal

Intervention Type OTHER

During the ad libitum test meal, participants will be presented with 800 grams of risotto with either high-, low-, or optimum umami taste intensity.

Optimum umami taste intensity

The optimum umami intensity meal will have a taste intensity corresponding with the MSG concentration in the sample rated closest to the 'Just right' point on the Visual Analogue Scale (VAS) during the first test session in which umami taste preferences per individual will be assessed by hedonic mapping.

Group Type EXPERIMENTAL

Hedonic mapping

Intervention Type OTHER

During the first session, participants will be presented with risotto samples differing in MSG content and thus umami taste intensity, assigned based on Booth's method (Booth et al., 1983). Based on these individual ratings, umami taste intensities of the ad libitum test meals will be calculated per participant.

Ad libitum risotto test meal

Intervention Type OTHER

During the ad libitum test meal, participants will be presented with 800 grams of risotto with either high-, low-, or optimum umami taste intensity.

Interventions

Learn about the drugs, procedures, or behavioral strategies being tested and how they are applied within this trial.

Hedonic mapping

During the first session, participants will be presented with risotto samples differing in MSG content and thus umami taste intensity, assigned based on Booth's method (Booth et al., 1983). Based on these individual ratings, umami taste intensities of the ad libitum test meals will be calculated per participant.

Intervention Type OTHER

Ad libitum risotto test meal

During the ad libitum test meal, participants will be presented with 800 grams of risotto with either high-, low-, or optimum umami taste intensity.

Intervention Type OTHER

Eligibility Criteria

Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.

Inclusion Criteria

* Self-reported healthy;
* BMI between 18.5 and 25 kg/m2;
* Age between 18 and 55 years old;
* Able to visit the research facilities on the Wageningen campus for hedonic mapping (once) and for the risotto lunch meal (three times);
* Able to provide informed consent.

Exclusion Criteria

* Diagnosed with smell- or taste disorder(s);
* Use of medication that could influence taste ability and/or food intake behaviour;
* Food allergy or intolerance to any of the ingredients used in the ad libitum test meal;
* Consumption of more than 14 (women) or 21 (men) glasses of alcohol per week;
* Student or personnel of the Health Research Unit at Wageningen University
Minimum Eligible Age

18 Years

Maximum Eligible Age

55 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

Meet the organizations funding or collaborating on the study and learn about their roles.

Wageningen University

OTHER

Sponsor Role lead

Responsible Party

Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.

Ciaran Forde

Prof. Dr.

Responsibility Role PRINCIPAL_INVESTIGATOR

Principal Investigators

Learn about the lead researchers overseeing the trial and their institutional affiliations.

Monica Mars, PhD

Role: PRINCIPAL_INVESTIGATOR

Wageningen University

Ciaran Forde, PhD

Role: STUDY_CHAIR

Wageningen University

Locations

Explore where the study is taking place and check the recruitment status at each participating site.

Department of Human Nutrition, Wageningen University

Wageningen, , Netherlands

Site Status

Countries

Review the countries where the study has at least one active or historical site.

Netherlands

References

Explore related publications, articles, or registry entries linked to this study.

Jayasena DD, Kang T, Wijayasekara KN, Jo C. Innovative Application of Cold Plasma Technology in Meat and Its Products. Food Sci Anim Resour. 2023 Nov;43(6):1087-1110. doi: 10.5851/kosfa.2023.e31. Epub 2023 Nov 1.

Reference Type BACKGROUND
PMID: 37969327 (View on PubMed)

Forde, C. G. (2016). Flavor perception and satiation. In Flavor (pp. 251-276). Woodhead Publishing.

Reference Type BACKGROUND

Masic U, Yeomans MR. Monosodium glutamate delivered in a protein-rich soup improves subsequent energy compensation. J Nutr Sci. 2014 Aug 13;3:e15. doi: 10.1017/jns.2014.15. eCollection 2014.

Reference Type BACKGROUND
PMID: 25191607 (View on PubMed)

Bolhuis DP, Lakemond CM, de Wijk RA, Luning PA, de Graaf C. Effect of salt intensity in soup on ad libitum intake and on subsequent food choice. Appetite. 2012 Feb;58(1):48-55. doi: 10.1016/j.appet.2011.09.001. Epub 2011 Sep 29.

Reference Type BACKGROUND
PMID: 21986190 (View on PubMed)

Bolhuis DP, Lakemond CM, de Wijk RA, Luning PA, Graaf Cd. Both longer oral sensory exposure to and higher intensity of saltiness decrease ad libitum food intake in healthy normal-weight men. J Nutr. 2011 Dec;141(12):2242-8. doi: 10.3945/jn.111.143867. Epub 2011 Nov 2.

Reference Type BACKGROUND
PMID: 22049294 (View on PubMed)

Bolhuis DP, Lakemond CM, de Wijk RA, Luning PA, de Graaf C. Effect of salt intensity on ad libitum intake of tomato soup similar in palatability and on salt preference after consumption. Chem Senses. 2010 Nov;35(9):789-99. doi: 10.1093/chemse/bjq077. Epub 2010 Aug 12.

Reference Type BACKGROUND
PMID: 20705808 (View on PubMed)

Sorensen LB, Moller P, Flint A, Martens M, Raben A. Effect of sensory perception of foods on appetite and food intake: a review of studies on humans. Int J Obes Relat Metab Disord. 2003 Oct;27(10):1152-66. doi: 10.1038/sj.ijo.0802391.

Reference Type BACKGROUND
PMID: 14513063 (View on PubMed)

Masic U, Yeomans MR. Umami flavor enhances appetite but also increases satiety. Am J Clin Nutr. 2014 Aug;100(2):532-8. doi: 10.3945/ajcn.113.080929. Epub 2014 Jun 18.

Reference Type BACKGROUND
PMID: 24944058 (View on PubMed)

Other Identifiers

Review additional registry numbers or institutional identifiers associated with this trial.

NL51747.081.14

Identifier Type: -

Identifier Source: org_study_id

More Related Trials

Additional clinical trials that may be relevant based on similarity analysis.

Sorting of Oral Sensations
NCT02390180 COMPLETED
Menu Label Noticeability
NCT06204913 COMPLETED NA