Establishment and validation of quantitative analysis of multi-components by a single marker for quality control of polygoni multiflori radix. Issue 39 (16th September 2016)

• Record Type: Journal Article
• Authors: Gao, Dan; Li, Yu-meng; Wang, Na; Li, Chun-yu; Zhang, Cong-en; Bai, Zhao-fang; Xiao, Xiao-he; Gao, Wei-wei; Wang, Jia-bo
• Is Part Of: Analytical methods. Volume 8:Issue 39(2016)
• Page Start: 7170
• Page End: 7176
• Publication Date: 2016-09-16
• Subjects: Chemistry, Analytic -- Periodicals; Analytical biochemistry -- Periodicals; Chemical laboratories -- Standards -- Periodicals; 543.1905
• DOI: 10.1039/c6ay01921h
• Languages: English
• ISSNs: 1759-9660

Abstract

Abstract : Quality control of Traditional Chinese Medicine (TCM) is one of the biggest challenges facing its clinical practice. Abstract : Quality control of Traditional Chinese Medicine (TCM) is one of the biggest challenges facing its clinical practice. The quality of Polygoni Multiflori Radix (PM) is mainly attributed to the content of stilbenes and anthraquinones. Herein, a sensitive, precise, and specific high-performance liquid chromatography (HPLC) method is established for the quantification of the six major components in PM, which include cis -2, 3, 5, 4′-tetrahydroxystilbene-2- O -β-d -glucoside ( cis -TSG), trans -2, 3, 5, 4′-tetrahydroxystilbene-2- O -β-d -glucoside ( trans -TSG), emodin-8- O -β-d -glucoside, physcion-8- O -β-d -glucoside, emodin and physcion. Based on this, using trans -TSG as the internal reference, quantitative analysis of multi-components by a single marker (QAMS) was carried out, and relative correction factors (RCFs) were calculated to determine the contents of the other five components. Tested by a robustness experiment under certain changeable conditions, the RCFs proved to be stable with RSDs below 5.0%. Moreover, on comparing the contents of the target components determined by an external standard method (EMS) and QAMS, there were no significant differences observed between the two methods with absolute relative errors of <5%. The abovementioned results indicate that QAMS possesses high convenience, accuracy, and feasibility and can be successfully applied to PM and its preparations for multi-component quality control.