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- W2348896769 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 component s for classification. Lysine(Lys), proline(Pro) and phenylalanine(Phe) were three most important physical and chemical compositions." @default.
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- W2348896769 date "2015-01-01" @default.
- W2348896769 modified "2023-09-25" @default.
- W2348896769 title "Study of Pu′er Raw Materials Grade Classification by PCA and PLS-DA" @default.
- W2348896769 hasPublicationYear "2015" @default.
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