Abstract
Sensory evaluation is a quantitative science in which numerical data are collected to establish lawful and specific relationships between product characteristics and human perception. Among the sensory methods available, Triangle test method was adopted. The purpose of this study was to differentiate Madhyama Paka and Khara Paka Katupila Taila with regard to smell and color. Forty pre-trained assessors were asked to identify the blindly coded sample analogous. The results were calculated using Python software and analyzed using receiver operating characteristics curve, area under curve (AUC), and d-prime (d’) with the help of sensR package in R-studio ver. 1.0.143. For both attributes, both the samples were correctly identified with a significance level of P < 0.001 and AUC of 1 and 0.999 for each set, respectively. Thus, it can be concluded that sensory analysis method efficiently discriminated the Madhyama Paka and Khara Paka Katupila Taila samples and thus can serve as a cost-effective routine quality control tool.
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