啤酒样品经硝酸消解后,用微波等离子体炬原子发射光谱法(MPT-AES)测定其中无机元素的含量。所得结果用SPSS 17.0科学统计软件进行因子分析和聚类分析。因子分析的结果表明:总方差(52.803%)的贡献来自于代表钴、锶、锰元素的因子1和代表锌、铁、铜元素的因子2,所以这些元素是啤酒中的特征元素。聚类分析的结果表明:9种产地的啤酒可以很好地彼此区别,并以此进行啤酒产地的归属辨别。

The sample of beer was digested with HNO3, and the contents of inorganic elements in sample solution were determined by MPT-AES. The results obtained were analyzed by SPSS 17.0 statistical software. It was found by the results of factor analysis that 52.803% of the total variance were contributed by the factor 1 (representing the elements of Co, Sr and Mn) and factor 2 (representing the elements of Zn, Fe and Cu), hence, these elements were taken as the characteristic elements for beers. The results of clustering analysis showed that the nine beers could be distinguished clearly, and the characteristic elements were different in the beers from different producing areas. The proposed method could be used for the adscription discrimination of beer′s producing areas.