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Vol. 26 No. 10 (2014): Vol 26 Issue 10

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Prediction and Screening of Biologically Active Compounds in Honeysuckle (Lonicera japonica) by Biopartitioning Micellar Chromatography

https://doi.org/10.14233/ajchem.2014.16967
Yuan Gan
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
Han Chen
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
Xin-Yu Yan
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
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, Chengdu 610041, P.R. China
Yu Chen
West China Hospital, Sichuan University, Chengdu 610041, P.R. China

Corresponding Author(s) : Li-Ming Ye

yeliminglaoshi@126.com; 845464460@qq.com

Asian Journal of Chemistry, Vol. 26 No. 10 (2014): Vol 26 Issue 10

Abstract

A new in vitro method, based on the retention data in biopartioning micellar chromatography, is validated for prediction and screening of bioactive components of honeysuckle (Lonicera japonica). Relationships between the capacity factors of honeysuckle extracts and chemical drugs with related curative effects are studied. Finally,statistical analysis and predictive model were obtained. The results reveal that anti-inflammatory, antipyretic and analgesic effects are the main efficacy of honeysuckle, antibiotic and antiviral effects take second place, effect of lowering blood pressure, high blood fat and blood sugar is the weakest. Besides, with further relevant Matlab programming function, the probability of the components associated with different effects can be obtained by calculating the honeysuckle capacity factors, so as to identify which peak represents the active ingredient in the chromatogram and which is the main pharmacological action. The use of biopartioning micellar chromatography is simple,reproducible and can provide key information for predicting and screening bioactive constituents of honeysuckle extracts.

Keywords

Predict and screen Biopartioning Micellar Chromatography Honeysuckle (Lonicera japonica) Bioactive compounds
Gan, Y., Liang, Y., Chen, H., Xue, J.-T., Yan, X.-Y., Xiong, D.-M., … Chen, Y. (2014). Prediction and Screening of Biologically Active Compounds in Honeysuckle (Lonicera japonica) by Biopartitioning Micellar Chromatography. Asian Journal of Chemistry, 26(10), 3109–3115. https://doi.org/10.14233/ajchem.2014.16967
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