“…It has been widely used as food to establish a comprehensive evaluation model based on principal component analysis to evaluate the physical and chemical indexes, bioactive components comprehensively, and flavor components of food from different origins and different processing to compare the quality differences between different products (Chen et al., 2016; Gong et al., 2014; Kang et al., 2017; Xue et al., 2014). This research used the comprehensive evaluation indicators of F1, F2, and F3 to replace the 17 amino acid indicators measured in the comprehensive analysis and established a comprehensive evaluation model with the variance contribution rate corresponding to each principal component (Kang et al., 2017; Li, Chu et al, 2018), that is, F = 0.613 F1 + 0.199 F2 + 0.133 F3. Among them, F is the comprehensive score, 0.613, 0.199, and 0.133 are the contribution rates of the first, the second, and the third principal component, respectively.…”