Tropical Journal of Pharmaceutical Research

Original Research Article | OPEN ACCESS

Identification of quality markers of Xiaojin Pills using a combination of high-performance liquid chromatograph-tandem mass spectrometry and multivariate analysis

Xi Xiong¹, Ya-nan He¹, Bi Feng¹, Yuan Pan², Xiu-mei Ke¹, Li Han¹ , Ding-kun Zhang¹, Yi Zhang³

¹State Key Laboratory Breeding Base of Systematic Research, Development and Utilization of Chinese Medicine Resources; ²Analysis and Testing Center, Chengdu University of Traditional Chinese Medicine; ³Chengdu Institutes of Food and Drug Control, Chengdu, 611137, PR China.

For correspondence:- Li Han Email: 465790643@qq.com Tel:+862861800127

Accepted: 20 July 2018 Published: 31 August 2018

Citation: Xiong X, He Y, Feng B, Pan Y, Ke X, Han L, et al. Identification of quality markers of Xiaojin Pills using a combination of high-performance liquid chromatograph-tandem mass spectrometry and multivariate analysis. Trop J Pharm Res 2018; 17(8):1663-1672 doi: 10.4314/tjpr.v17i8.28

© 2018 The authors.
This is an Open Access article that uses a funding model which does not charge readers or their institutions for access and distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0) and the Budapest Open Access Initiative (http://www.budapestopenaccessinitiative.org/read), which permit unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited..

Abstract

Purpose: To establish an appropriate quality control method for Xiaojin pills using high-performance liquid chromatograph-tandem mass spectrometry combined with multivariate analysis.

Methods: High-performance liquid chromatograph-tandem mass spectrometry was established to detect and quantify 13 chemical components of Xiaojin Pills. In order to evaluate the quality difference between diverse specimens of Xiaojin Pills, several multivariate statistical techniques were applied to analyze the dissimilarity between different batches of samples, including principal composition analysis method and clustering methodology.

Results: Five chemical components were identified as primary quality markers, which can be used to accurately distinguish various samples and command the quality of Xiaojin Pills.

Conclusion: The results afford a professionally scientific basis for the quality monitoring of Xiaojin Pills and also furnishes reasonable ideas and suggestions for the quality control of other traditional drugs.

Keywords: Xiaojin Pills, HPLC-MS/MS, Quality control, Chemometrics, Quality markers