崇明老白酒产地溯源判别

Geographical origin traceability discrimination of Chongming rice wine

以上海崇明米酒为研究对象,分析米酒中氢氧稳定同位素自然丰度值(δ^2H和δ^(18)O值)、矿物元素和游离氨基酸的含量,通过主成分分析和偏最小二乘判别分析,建立崇明老白酒产地判别模型并进行特征变量筛选。结果表明,不同产地米酒的δ^2H和δ^(18)O值、矿物元素和游离氨基酸含量存在差异,但只有δ^2H和δ^(18)O值、Ca和Mn含量在统计学上差异显著(P<0.05);主成分分析可实现崇明老白酒的产地判别,偏最小二乘判别分析最优模型对崇明老白酒的判别正确率达100%;基于建模变量的重要性,确定了δ^2H、Sr、Arg、Mn、Cu、Zn、Ca和δ^(18)O 8个变量为崇明老白酒产地判别的特征变量,可以应用于米酒的产地溯源。

Shanghai Chongming rice wine was used as the main research subject in this study.The natural abundance of hydrogen and oxygen stable isotopes(δ^2H andδ^18O values),mineral elements and free amino acids content were analyzed.The discriminant models of Chongming rice wines were established and the characteristic variables were screened by principal component analysis(PCA)and partial least squares discriminant analysis(PLS-DA).The results showed that theδ^2 H andδ^18O values,mineral elements and free amino acids content in rice wines from different geographic origins were different,but onlyδ^2H andδ^18 O values and the content of Ca and Mn were statistically significant(P<0.05).The principal component analysis could realize the geographical origin discrimination of Chongming rice wines.The accuracy of the optimal model of PLS-DA for Chongming rice wines was 100%.Based on variable importance for the projection,eight variables includingδ^2H,Sr,Arg,Mn,Cu,Zn,Ca andδ^18O were identified as the characteristic variables of Chongming rice wine for geographic origins discrimination.The results can be applied to the geographical traceability of rice wine.