基于PCA的中药黄芩药效评价方法研究

doi:10.3976/j.issn.1002-4026.2012.01.010

Abstract

Abstract:

We employ the algorithm of principal component analysis (PCA) to process the acquired chromatographic fingerprint and inhibitory rate by dimensionality reduction to realize chromatographic fingerprint and pharmacological effect correlation mode based comprehensive quality evaluation for Baikal skullcap root. Test results demonstrate its advances and higher reliability. This method provides us a new and referable idea for the quality evaluation of traditional Chinese herbal medicine.

Key words: quality evaluation of traditional Chinese medicine, chromatographic fingerprint and pharmacological effect correlation mode, principal component analysis, fingerprint, Baikal skullcap root

CLC Number:

R284.1

CHENG Wei, HOU En-Guang, LI Ke, LI Shu-Bin, ZHAO Bo-Nian, XU Zong-Yuan. Research on principle component analysis based pharmacological effect evaluation method for a kind of Chinese herbal medicine, Baikal skullcap root[J].J4, 2012, 25(1): 47-50.

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Research on principle component analysis based pharmacological effect evaluation method for a kind of Chinese herbal medicine, Baikal skullcap root

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