Tropical Journal of Pharmaceutical Research

Original Research Article | OPEN ACCESS

Fingerprint and multi-component quantitative analyses for quality evaluation of Rhizoma coptidis steamed with rice wine

Hai-rong Zeng¹, Guan-hua Lou¹, Chang-jiang Hu¹, Qin-wan Huang¹ , Xiang-bo Yang² Jin Wang¹

¹College of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu; ²Xunkang Pharm Ltd, Yaâ€™an, China.

For correspondence:- Qin-wan Huang Email: hqwan2163@163.com

Accepted: 17 May 2019 Published: 30 June 2019

Citation: Zeng H, Lou G, Hu C, Huang Q, Yang X.Wang J. Fingerprint and multi-component quantitative analyses for quality evaluation of Rhizoma coptidis steamed with rice wine. Trop J Pharm Res 2019; 18(6):1297-1303 doi: 10.4314/tjpr.v18i6.22

© 2019 The authors.
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Abstract

Purpose: To establish a method for the simultaneous determination of multi-components of Rhizoma coptidis steamed with rice wine (RCRW), and to provide a reference for assessing its standard of quality.

Method: Chromatographic separation was performed on a high performance liquid chromatography (HPLC) system to determine the characteristic fingerprint of RCRW. The mobile phase consisted of acetonitrile (A) and 0.1 % trifluoroacetic acid (B), with gradients of B as follows: 15 - 20 % from 0 – 30 min; 20 - 25 % from 30 - 50 min; 25 - 35 % for 50 - 60 min, and 35 % for 60 - 70 min.

Results: In the multiple reaction monitoring mode, eight components of RCRW were isolated by HPLC- photo-diode array (PDA) method. A fingerprint of the RCRW was established and 8 peaks were calibrated. The method was further validated in terms of linearity (R² > 0.9993), precision (relative standard deviation, RSD < 1.51 %); repeatability (RSD < 2.98 %) and stability (RSD < 1.93 %). Mean recovery rate ranged from 96.2 to 103.8 %, while RSD values ranged from 0.92 to 2.88 %.

Conclusion: These results show that HPLC-PDA method is accurate and feasible, and that they provide a reference for further comprehensive and effective quality control of RCRW.

Keywords: Rhizoma coptidis, Rice wine, Fingerprint analysis, Chemical composition, Multi-conponent quantification, Quality evaluation