Comparing a new rapid combined method (RapCoTT) with traditional approaches for phenotyping thermal taste

Thermal taste is the phenomenon whereby taste is induced in some individuals through the application of a changing temperature stimulus to the tongue. Research into thermal taste is currently limited by inefficient phenotyping methods, which result in large numbers of unclassified individuals. This study evaluated the performance of a new, rapid combined phenotyping approach (RapCoTT) compared to two classification approaches using traditional phenotyping methods. RapCoTT was found to be more efficient at classifying participants, whilst showing consistency in classification with existing approaches. However, learning effects impacted the efficiency of all methods, which are a likely consequence of the unusual nature of thermal taste. It was concluded that three training steps be included for the phenotyping, namely taste exposure, TCATA training and a practice run. RapCoTT was found to evoke similar patterns of perceived tastes to other methods, with some exceptions. RapCoTT provides a more efficient tool for categorising participants for comparing sensory perception and food choice behaviours within the Thermal taste phenotype and provides a robust approach for future research into the phenomenon of thermal taste.