tudy of Pu&#x02032;er Raw Materials Grade Classification by PCA and PLS-DA

LIU Binqiu; CHEN Xiaoquan; WU Xiaogang; ZHANG Wei; WANG Zihao

doi:10.13305/j.cnki.jts.2015.02.011

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Journal of Tea Science ›› 2015, Vol. 35 ›› Issue (2) : 179-184. DOI: 10.13305/j.cnki.jts.2015.02.011

tudy of Pu′er Raw Materials Grade Classification by PCA and PLS-DA

LIU Binqiu, CHEN Xiaoquan, WU Xiaogang, ZHANG Wei, WANG Zihao

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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.

Key words

grade classification / PCA / PLS-DA / Pu′er raw materials tea;

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LIU Binqiu, CHEN Xiaoquan, WU Xiaogang, ZHANG Wei, WANG Zihao. tudy of Pu′er Raw Materials Grade Classification by PCA and PLS-DA[J]. Journal of Tea Science. 2015, 35(2): 179-184 https://doi.org/10.13305/j.cnki.jts.2015.02.011

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