Study Results
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Basic Information
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COMPLETED
NA
33 participants
INTERVENTIONAL
2025-04-12
2025-05-23
Brief Summary
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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.
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Detailed Description
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Conditions
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Study Design
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RANDOMIZED
CROSSOVER
BASIC_SCIENCE
SINGLE
Study Groups
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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.
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.
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.
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.
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.
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.
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.
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.
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.
Interventions
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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.
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.
Eligibility Criteria
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Inclusion Criteria
* 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
* 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
18 Years
55 Years
ALL
Yes
Sponsors
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Wageningen University
OTHER
Responsible Party
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Ciaran Forde
Prof. Dr.
Principal Investigators
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Monica Mars, PhD
Role: PRINCIPAL_INVESTIGATOR
Wageningen University
Ciaran Forde, PhD
Role: STUDY_CHAIR
Wageningen University
Locations
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Department of Human Nutrition, Wageningen University
Wageningen, , Netherlands
Countries
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References
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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.
Forde, C. G. (2016). Flavor perception and satiation. In Flavor (pp. 251-276). Woodhead Publishing.
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.
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.
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.
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.
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.
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.
Other Identifiers
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NL51747.081.14
Identifier Type: -
Identifier Source: org_study_id
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