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Updated: Jan 18, 2026

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Measuring Oral Fatty Acid Thresholds, Fat Perception, Fatty Food Liking, and Papillae Density in Humans
Published on: June 4, 2014
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Classifying fat-taste sensitivity with repeated threshold testing and an additive-free emulsion: stability and
Ji-Yun Hong1, Seo-Jung Noh1, Ji-Yun Yang1
1Department of Food Science and Biotechnology, College of Engineering, Ewha Womans University, Seoul 03760, South Korea.
Food Research International (Ottawa, Ont.)
|January 15, 2026
Summary
Repeated testing can change how people are classified for fat-taste sensitivity, impacting associations with other traits. Accounting for learning effects provides more stable classifications for non-esterified fatty acids (NEFAs) sensitivity.
Area of Science:
- Sensory science
- Human taste perception
- Nutritional neuroscience
Background:
- Individual differences in oral sensitivity to non-esterified fatty acids (NEFAs), particularly oleic acid, are significant.
- The impact of repeated testing and potential learning effects on classifying fat-taste sensitivity remains underexplored.
Purpose of the Study:
- To determine if repeated evaluations alter fat-taste sensitivity classification, considering learning effects.
- To investigate how changes in classification influence associations with other sensory traits.
Main Methods:
- Oleic acid detection thresholds were measured using a signal-detection-based Dual-Reminder A-Not A method.
- Testing involved eight visits with an additive-free emulsion in healthy young Korean women.
- Participants were classified as hypo- or hypersensitive based on single versus repeated testing data.
Main Results:
- Approximately 33% of participants (13 out of 40) were reclassified after repeated testing, indicating learning effects.
- Hypersensitive individuals, classified with repeated testing, showed higher PROP bitterness sensitivity compared to single-visit classification.
- An additive-free emulsion minimized confounds in assessing fat-taste perception.
Conclusions:
- Repeated testing, accounting for learning, leads to more stable fat-taste sensitivity classifications.
- Brief familiarization or targeted repetition can improve classification accuracy.
- Stable fat-taste sensitivity classification reveals clearer associations with other individual traits, like bitterness perception.
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