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香料的热脱附-气质联用指纹图谱偏最小二乘判别分析与差异表征
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摘要
采集72个来自2类不同风格特征香料的热脱附-气质联用指纹图谱,结合偏最小二乘判别分析(PLS-DA),建立2类不同风格特征香料的类模型。使用26个验证样品对类模型进行验证,(在P>0.05的条件下),结果表明,验证样品均获得了正确的分类,类模型判别效果良好;同时,通过因子载荷矩阵分析,计算各化学组分对2类香料分类的贡献率,表征2类香料化学组分的差异,结果令人满意。
TDS-GC-MS chromatographic fingerprints of 72 flavors, which are belong to two different characteristics types, were collected and integrated with analysis method of PLS-DA, to establish class model for two different characteristics flavors. When P>0.05, 26 verified samples were used to verify class model, and the result showed that the class model performs well in discrimination of verified samples classifying; meanwhile, to calculate the contribution rate of each chemical compound to classifying of two types of flavors by analysis the factors of contribute matrix, to characterize the differences of chemical compounds in two types of flavors, led to a satisfying results.
引文
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