茶叶科学Issue(2)：179-184,6.
PCA 和 PLS-DA 用于晒青毛茶级别分类研究
Study of Pu′er Raw Materials Grade Classification by PCA and PLS-DA
刘彬球 1陈孝权 1吴晓刚 1张偎 1王子浩1
作者信息
- 1. 大益集团勐海茶业有限责任公司，云南 勐海 666200
- 折叠
摘要
Abstract
Two classification methods for Pu′er raw materials were explored using principal component analysis (PCA) and partial least squares discriminant analysis (PLS-DA), and the important physical and chemical compositions were identified through the statistical analysis. The results revealed that both PCA and PLS-DA could directly classify the grades of Pu′er raw materials, particularly for the grade 3, but not for that of grade 6 and 9. The PCA loadings plot and PLS-DA variable important for the projection plot indicated that the contents of amino acids were the important physical and chemical components for classification. Lysine (Lys), proline (Pro) and phenylalanine (Phe) were three most important physical and chemical compositions.关键词
晒青毛茶/级别分类/主成分分析/偏最小二乘法判别分析Key words
Pu′er raw materials tea/grade classification/PCA/PLS-DA分类
轻工纺织引用本文复制引用
刘彬球,陈孝权,吴晓刚,张偎,王子浩..PCA 和 PLS-DA 用于晒青毛茶级别分类研究[J].茶叶科学,2015,(2):179-184,6.
