Training of a Dutch and Malaysian sensory panel to assess intensities of basic tastes and fat sensation of commonly consumed foods
International audience ; Taste has a nutrient sensing function and guides food choices. Therefore, investigating taste profiles of dietary patterns – within and across cultures – is highly relevant for nutritional research. However, this demands for accurately described food-taste databases, which are supported with data on the reliability and performance of the sensory panel that determined the taste values. This study aimed to assess the performance of a trained Dutch and Malaysian sensory panel. More importantly, we assessed whether the standardized training procedure in the two countries y... Mehr ...
Verfasser: | |
---|---|
Dokumenttyp: | Artikel |
Erscheinungsdatum: | 2018 |
Verlag/Hrsg.: |
HAL CCSD
|
Schlagwörter: | trained panel / taste profiling / panel performance / cross-cultural / spectrum / [SDV.AEN]Life Sciences [q-bio]/Food and Nutrition / [SDE.ES]Environmental Sciences/Environmental and Society |
Sprache: | Englisch |
Permalink: | https://search.fid-benelux.de/Record/base-27397897 |
Datenquelle: | BASE; Originalkatalog |
Powered By: | BASE |
Link(s) : | https://hal.inrae.fr/hal-02624261 |
International audience ; Taste has a nutrient sensing function and guides food choices. Therefore, investigating taste profiles of dietary patterns – within and across cultures – is highly relevant for nutritional research. However, this demands for accurately described food-taste databases, which are supported with data on the reliability and performance of the sensory panel that determined the taste values. This study aimed to assess the performance of a trained Dutch and Malaysian sensory panel. More importantly, we assessed whether the standardized training procedure in the two countries yielded similar taste profiles with respect to 15 basic taste solutions, and 19 foods differing in tastes. A Dutch (n = 15) and Malaysian panel (n = 20) were trained for 56–63 h, using basic taste solutions and reference foods on 6 scales, i.e. sweetness, sourness, bitterness, umami, saltiness and fat sensation. Performance of both panels was described by discrimination, repeatability (RMSE), and agreement. Nineteen products with different sensory characteristics were profiled in the Netherlands and Malaysia; subsequently the obtained taste profiles were compared. Both panels were able to discriminate between solutions and products (all p < .001). A vast majority of the taste values could be reproduced; the RMSEs of the different taste values varied between 2.3 and 13.3%. Panel agreement was achieved after the training with solutions; however not for all attributes of the reference foods. Some taste values of the 19 foods were significantly different, however most of these differences were small (<10points). Our descriptive training procedure yielded two panels from different cultures that were similar in panel performance. More importantly, they obtained similar taste profiles for 19 different foods. This implies that food-taste databases obtained with valid and standardized training procedures may be used to quantify the sensory profiles of dietary patterns of populations.