NCT07059117

Umami Taste Intensity and ad Libitum Meal Intake

High Versus Low Versus Optimal Umami Taste Intensity in a Risotto Mixed Meal With Comparable Palatability on ad Libitum Meal Intake

• Status: Completed
• Phase: N/A
• Study type: Interventional
• Enrollment: 33 (actual)
• Sponsor: Wageningen University · Academic / Other
• Sex: All
• Age: 18 Years – 55 Years
• Healthy volunteers: Accepted

Summary

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.

Conditions

• Taste Sensitivity
• Umami Taste Perception
• Food Intake Regulation
• Hedonic Function
• Palatability

Interventions

Type	Name	Description
OTHER	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.
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.

Timeline

• Start date: 2025-04-12
• Primary completion: 2025-05-23
• Completion: 2025-05-23
• First posted: 2025-07-10
• Last updated: 2025-08-17

Locations

1 site across 1 country: Netherlands