黔川典型白酒多元素组成及其原产地判定研究

采用电感耦合等离子体质谱(ICP-MS)和电感耦合等离子体发射光谱(ICP-OES)分析测试黔川三个不同原产地的19个典型白酒样中的48个元素含量组成。对多元素含量进行多维尺度分析(MDS)、方差分析(ANOVA)、主成分分析(PCA)和判别分析(DA)等多变量统计分析,探讨多元素组成对不同原产地白酒溯源的可行性,筛选出白酒原产地判定的有效指标。结果显示,不同原产地白酒样中多元素含量有其各自的分布特征,其中Ca、Na、Fe、Mn、Be、Sc、V、Cu、Ga、Ge、Y、Cs、Pr、Nd、Sm、Eu、Gd、Tb、Dy、Ho、Tm、Yb和Lu等23个元素存在显著差异。多维尺度分析和主成分分析将白酒样分成不同类别,其类别与原产地基本一致。通过逐步判别分析,筛选出6个元素指标可判别白酒样的产地来源,依次为Mn、Ga、Sc、V、Na和Cs,整体正确判别率为94.7%。利用多元素指纹技术对白酒原产地判定是可行的。

Multi-element Composition and Geographical Origin Discrimination of the Selected Liquors

Inductively coupled plasma mass spectrometry (ICP-MS) and inductively coupled plasma -optical emission spectrometry (ICP-OES) were used for accurately determining the concentrations of 48 elements in 19 selected liquor samples from three geographical origins of Guizhou and Sichuan. The statistics of variance (ANOVA), multidimensional scaling (MDS), principal component analysis (PCA) and discriminate analysis (DA) were applied to investigating the feasibility of multi-element analysis in discrimination of the geographical origins of liquors, and to select the effective indicators in liquors for geographic origin assessment. The results showed that the element contents varied in the liquor samples from different localities, and there exist significant differences in the contents of Ca, Na, Fe, Mn, Be, Sc, V, Cu, Ga, Ge, Y, Cs, Pr, Ne, Sm, Eu, Gd, Tb, Dy, Ho, Tm, Yb and Lu. MDS and PCA classified the samples of liquors as different categories, which are consistent to the geographical origins. Furthermore, six elements (Mn, Ga, Sc, V, Na and Cs) were screened through DA to be appropriate indicators for geographic origin assessment of liquor samples, and 94.7% correct classification is for all the studied samples. Therefore, it is feasible to determine the geographical origins of liquors based on multi-element analysis data for liquor samples.