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Vol. 27 No. 6 (2015): Vol 27 Issue 6

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Application of Biopartioning Micellar Chromatography in Screening Active Ingredients of Traditional Chinese Medicine

https://doi.org/10.14233/ajchem.2015.17744
Han Chen
West China School of Pharmacy, Sichuan University, Chengdu 610041, P.R. China
Yan Liang
West China School of Pharmacy, Sichuan University, Chengdu 610041, P.R. China
Xin Yu Yan
West China School of Pharmacy, Sichuan University, Chengdu 610041, P.R. China
Jin Tao Xue
West China School of Pharmacy, Sichuan University, Chengdu 610041, P.R. China
Dong Mei Xiong
West China School of Pharmacy, Sichuan University, Chengdu 610041, P.R. China
Yuan Gan
West China School of Pharmacy, Sichuan University, Chengdu 610041, P.R. China
Cong Chen
West China School of Pharmacy, Sichuan University, Chengdu 610041, P.R. China
Li Ming Ye
West China School of Pharmacy, Sichuan University, Chengdu 610041, P.R. China
Ting Xu
West China Hospital, Sichuan University, No. 17, Section 3, South Renmin Road, Chengdu 610041, P.R. China
Yu Chen
West China Hospital, Sichuan University, No. 17, Section 3, South Renmin Road, Chengdu 610041, P.R. China

Corresponding Author(s) : Yu Chen

chajqc@163.com, yeliminglaoshi@126.com

Asian Journal of Chemistry, Vol. 27 No. 6 (2015): Vol 27 Issue 6

Abstract

This research was aim to investigate the potential of biopartitioning micellar chromatography for screening bioactive ingredients of tradition Chinese medicine. Twenty-seven kinds of Chinese herbs with clear drug properties were selected and decocted with water, then retention factor of each Chinese herb in biopartitioning micellar chromatography was measured. In conjunction with molecular descriptors and retention factor (kBMC), support vector machine algorithm, one of the classification techniques of data mining, was used to classify and predict the drug properties of tradition Chinese medicine. The result obtained higher accuracy rate (accuracy = 74 %), which indicate that support vector machine can accurately classify drug properties of tradition Chinese medicine.

Keywords

Active ingredients Traditional Chinese medicines Biopartioning micellar chromatography Support vector machine
Chen, H., Liang, Y., Yu Yan, X., Tao Xue, J., Mei Xiong, D., Gan, Y., … Chen, Y. (2015). Application of Biopartioning Micellar Chromatography in Screening Active Ingredients of Traditional Chinese Medicine. Asian Journal of Chemistry, 27(6), 2087–2092. https://doi.org/10.14233/ajchem.2015.17744
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