Modeling and application of sensory evaluation of blueberry wine based on principal component analysis

Abstract

In this study, eight different levels of commercial blueberry wines were studied to establish the comprehensive quality evaluation method of blueberry wine. Eleven physicochemical indexes (total carbohydrates (TC), total acids (TA), total esters (TE), total phenols (TP), total anthocyanins (ANT), color density (CD), tint (T), alcohol by volume (ABV), total soluble solids (TSS), Ph value, total dry extracts (TDE)) were used to establish the quality evaluation model and conduct the principal component analysis (PCA). Based on the results from PCA, the first three principal components accounted for 85.73% of the total quality variability. The consistent ranking of blueberry wines between quality evaluation model and sensory evaluation test verified the reliability of this model. In addition, ultrasonic-treated blueberry wine showed a higher score than the untreated group, which reflected the sensory quality changes of blueberry wine during ultrasonic treatment with high sensitivity. This study provides a theoretical basis for the comprehensive quality evaluation of blueberry wines and reasonable instruction for consumers’ choices.