Issue 40, 2017

Detection of chemical constituents in Gegenqinlian decoction by ultra-high performance liquid chromatography coupled with Fourier transform ion cyclotron resonance mass spectrometry

Abstract

Gegenqinlian decoction (GQLD) is one of the classic traditional Chinese medicines. The formula consists of four herbal medicines including Radix Puerariae lobatae, Radix Scutellariae, Coptidis Rhizoma, and Glycyrrhizae Radix et Rhizoma Praeparata Cum Melle. In this study, an ultra-high performance liquid chromatography combined with Fourier transform ion cyclotron resonance mass spectrometry method was employed to investigate the major constituents in GQLD. Liquid chromatographic separation was conducted on a HSS T3 column (2.1 mm × 100 mm, 1.8 μm) with a mobile phase consisting of acetonitrile and 0.1% formic acid–water at a flow rate of 0.30 mL min−1. Accurate mass measurements for molecular ions (below 2 ppm in most cases) and characteristic fragment ions could represent reliable identification criteria for these compounds. In total, 134 compounds in GQLD were identified or tentatively characterized mainly including flavonoids, alkaloids and triterpenoids. In conclusion, the UHPLC-FT-ICR-MS is a highly efficient technique to separate and identify constituents in the complex matrices of traditional Chinese medicine. These results could provide a basis for quality control and further in vivo research of GQLD.

Graphical abstract: Detection of chemical constituents in Gegenqinlian decoction by ultra-high performance liquid chromatography coupled with Fourier transform ion cyclotron resonance mass spectrometry

Article information

Article type
Paper
Submitted
30 Aug 2017
Accepted
20 Sep 2017
First published
21 Sep 2017

Anal. Methods, 2017,9, 5890-5902

Detection of chemical constituents in Gegenqinlian decoction by ultra-high performance liquid chromatography coupled with Fourier transform ion cyclotron resonance mass spectrometry

T. Liu, Y. Cui, X. Tian, S. Li, F. Han, B. Ji, Y. Zhao and Z. Yu, Anal. Methods, 2017, 9, 5890 DOI: 10.1039/C7AY02082A

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