163
Views
1
CrossRef citations to date
0
Altmetric
LIQUID CHROMATOGRAPHY

Ultra-Performance Liquid Chromatography Coupled with Quadrupole Time-of-Flight Mass Spectrometry for Rapid Determination of the Metabolites of Baicalin Produced by Human Intestinal Bacteria

, , , , , & show all
Pages 429-438 | Received 21 Jul 2012, Accepted 22 Aug 2012, Published online: 22 Jan 2013
 

Abstract

Baicalin, mainly isolated from Scutllaria baicalensis, has been reported to possess a wide range of biological activities. However, the information about the metabolic route and metabolites of baicalin was limited to the role of the human intestinal bacterial mixture. In this paper, four strains of bacteria including Bacteroides sp. 33 and 56, and Veillonella sp. 23 and 71 were isolated from human intestinal bacterial mixture and studied for their abilities to convert baicalin to different metabolites. A highly sensitive and specific ultraperformance liquid chromatography/quadrupole time-of-flight mass spectrometry (UPLC-Q-TOF/MS) method combined with mass defect filtering (MDF) provides high throughput capabilities for drug metabolism study. The chromatographic separation was performed on a 1.7 µm particle size C 18 column using gradient elution system. The components in the extract were identified and confirmed according to the mass spectrometric fragmentation mechanisms, MS/MS fragment ions and relevant literature by means of electrospray ionization mass spectrometry in negative ion mode. With this method, a total of 4 metabolites were identified based on MS and MS/MS data. The results indicated that hydrogenation, methylation, and deglycosylation were the major metabolic pathways of baicalin in vitro. The present study provides important information about the metabolism of baicalin which will be helpful for fully understanding the impact of the intestinal bacteria on this active component. Furthermore, this work demonstrated the potential of the ultraperformance liquid chromatography/quadrupole time-of-flight mass spectrometry approach for a rapid, simple, reliable, and automated identification of metabolites of natural products.

Acknowledgments

This work was financially supported by Jiangsu province colleges and universities natural science major basic research projects (No.10KJA360039), Construction Project for Jiangsu Key Laboratory for High Technology Research of TCM Formulae (BM2010576), and National Basic Research Program of China (973 Program) (2011CB505300, 2011CB505303).

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 768.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.