基于主成分分析法的苹果酒香气质量评价模型的构建

Modeling of aroma quality evaluation of cider based on principal component analysis

摘要: 利用顶空法固相微萃取与气相色谱质谱联用(HS-SPME-GC-MS)测定了12种苹果酒中的部分重要香气成分，利用主成分分析法建立了苹果酒香气质量评价模型，并用该模型对12种苹果酒香气质量进行了评价，结果表明苹果酒S12的香气质量最好；进一步通过感官评价法对模型评价结果进行了检验，结果表明2种方法具有很好的一致性，表明该文提出的方法是可行的，为果酒香气质量的评价探索了一种新的途径。

Abstract: The aroma compounds in 12 different kinds of cider were identified and determined by the Headspace-Solid phase microextraction-Gas Chromatography-Mass Spectrometry. Then a model was established based on principal component analysis method for assessing and ranking the aroma quality of cider. S12 was selected from 12 cider samples for having best aroma by the model. This result was consistent with conventional sensory evaluation. The results indicate that the model is acceptable and available for assessing the aroma quality of cider.