Abstract: The contents of eleven mineral elements（Mg，Al，Ca，Mn，Fe，Cu、Zn，K，Na，Co and Pb） in twentythree green tea samples from different areas were analyzed by microwave plasma torch atomic emission spectrometry (MPTAES). Then principal component analysis (PCA) and cluster analysis (CA) were applied to differentiate the geographical origins of these tea. The result indicated that This method can discriminate the geographical origins of these tea from AnHui、ZheJiang、SiChuan and JiangXi, the classification performance was clearly, the content of the mineral elements in teas were good chemical descriptors for differentiating their geographical origins.

Key words: Green tea , Principal component analysis , Cluster analysis , Differentiation

摘要： 采用微波等离子体炬原子发射光谱法(MPT灢AES)测定了23种不同产地绿茶样品中的Mg、Al、Ca、
Mn、Fe、Cu、Zn、K、Na、Co和Pb共11种元素的含量,并结合主成分分析和聚类分析进行茶叶产地的判别。研究结
果表明:利用主成分分析和聚类分析对来自安徽、浙江、四川和江西的绿茶能够良好地区分,聚类效果明显,茶叶中
矿质元素的含量可作为茶叶产地判别的测量指标之一。

关键词: 绿茶 , 主成分分析 , 聚类分析 , 鉴别