A reliable Fisher discriminant model was established which was able to analyze the aroma component in milk, dairy products, flavors and fragrance, and applied on its variety identification. Foodomics was applied on screening of flavor components in 1093 dairy products and flavor samples in this study. Stepwise discrimination was used to screen the components of the dairy products and flavor samples that had a significant effect on the classification results, and discriminant function analysis. Then nine principal components were used for established the Fisher discriminant model. The three-dimensional coordinate distance of the sample was calculated and as the gist. The result showed that samples and flavors were distributed in eight different sites. The separation and clustering effects are better. The objective of the present study was to effectively determine whether or not flavors were added to dairy products.

建立了可靠的Fisher判别模型，该模型能够分析牛奶，乳制品，香精和香料中的香气成分，并将其应用于品种识别。在这项研究中，将食品组学应用于1093乳制品和风味样品中风味成分的筛选。逐步判别用于筛选乳制品和风味样品的成分，这些成分对分类结果和判别功能分析有重大影响。然后使用9个主要成分建立了Fisher判别模型。计算样品的三维坐标距离并作为要点。结果表明，样品和风味剂分布在八个不同的位置。分离和聚类效果更好。