您好,欢迎访问山西省农业科学院 机构知识库!

UPLC Quantitative Analysis of Multi-Components by Single Marker and Quality Evaluation of Polygala tenuifolia Wild. Extracts

文献类型: 外文期刊

作者: Xu, Rui 1 ; Mao, Fuying 1 ; Zhao, Yunsheng 1 ; Wang, Wenping 1 ; Fan, Lingling 1 ; Gao, Xiaojuan 1 ; Zhao, Jianjun 1 ; Ti 1 ;

作者机构: 1.Ningxia Med Univ, Sch Pharm, Ningxia 750004, Peoples R China

2.Ningxia Res Ctr Modern Hui Med Engn & Technol, Ningxia 750004, Peoples R China

3.Minist Educ, Key Lab Hui Ethn Med Modernizat, Ningxia 750004, Peoples R China

4.Shanxi Acad Agr Sci, Inst Ind Crop Res, Fenyang 032200, Shanxi, Peoples R China

关键词: Polygala tenuifolia Wild;multi-components by single marker;ultra-performance liquid chromatography;quality evaluation

期刊名称:MOLECULES ( 影响因子:4.411; 五年影响因子:4.587 )

ISSN: 1420-3049

年卷期: 2017 年 22 卷 12 期

页码:

收录情况: SCI

摘要: The quality control of Polygala tenuifolia Wild. is a major challenge in its clinical application. In this paper, a new strategy for the quality evaluation of P. tenuifolia extracts was verified through reverse-phase ultra-performance liquid chromatography (UPLC). The quantitative analysis of multi-components by a single marker (QAMS) was conducted with 3,6-disinapoyl sucrose as an internal reference substance. Eight components (i.e., sibiricose A5, sibiricose A6, glomeratose A, tenuifoliside A, tenuifoliside B, tenuifoliside C, sibiricaxanthone B, and polygalaxanthone III) were determined based on the relative correction factors. The concentrations of these components were also determined by applying a conventional external standard method. The cosine value confirmed the consistency of the two methods (cosine ratio value >0.999920). Hierarchical cluster analysis, radar plots, and discriminant analysis were performed to classify 23 batches of P. tenuifolia extracts from Shanxi, Hebei, and Shaanxi in China. Results revealed that QAMS combined with radar plots and multivariate data analysis could accurately measure and clearly distinguish the different quality samples of P. tenuifolia. Hence, QAMS is a feasible and promising method for the quality control of P. tenuifolia.

  • 相关文献
作者其他论文 更多>>