Literature DB >> 26994551

Comprehensive analysis of 61 characteristic constituents from Siraitiae fructus using ultrahigh-pressure liquid chromatography with time-of-flight mass spectrometry.

Guisheng Zhou1, Mengyue Wang1, Yang Li1, Renjie Xu1, Xiaobo Li2.   

Abstract

A systematic method was established for the qualitative and quantitative analysis of characteristic components such as triterpenoids and flavonols in Siraitiae fructus, a famous antidiabetic traditional Chinese medicine (TCM). For qualitative analysis, 61 characteristic components were identified using the ultra-high performance liquid chromatography coupled with photo-diode array and quadrupole/time-of-flight mass spectrometry (UPLC-PDA-QTOF-MS/MS) based on a multiple product ions filtering (mPIF) strategy, of which 22 compounds were characterized for the first time from Siraitiae fructus. For quantitative detection, a relative quantitation assay using an extract ion chromatogram (EIC) of the full scan MS experiment was validated and employed to assess the quantity of the 61 identified compounds in 40 batches Siraitiae fructus samples from different sources. Additionally, the principal component analysis (PCA) indicated that 40 samples could be clustered into four groups and the cultivated variety was an important factor for sample classification. The methods used in present study might be also valuable for simultaneous investigation of multiple components from Siraitiae fructus for the purpose of holistic quality control, phytochemistry and metabolic studies.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Chemical profiling; Flavonol; Siraitiae fructus; Triterpene; UHPLC-PDA-QTOF-MS(2)

Mesh:

Year:  2016        PMID: 26994551     DOI: 10.1016/j.jpba.2016.03.010

Source DB:  PubMed          Journal:  J Pharm Biomed Anal        ISSN: 0731-7085            Impact factor:   3.935


  3 in total

Review 1.  A holistic strategy for quality and safety control of traditional Chinese medicines by the "iVarious" standard system.

Authors:  Anzhen Chen; Lei Sun; Hang Yuan; Aiying Wu; Jingguang Lu; Shuangcheng Ma
Journal:  J Pharm Anal       Date:  2017-07-14

2.  Identification and Analysis of Chemical Constituents and Rat Serum Metabolites in Gushuling Using UPLC-Q-TOF/MS Coupled with Novel Informatics UNIFI Platform.

Authors:  Hong Chang; Shujie Lv; Tengteng Yuan; Huan Wu; Lei Wang; Ran Sang; Caiyun Zhang; Weidong Chen
Journal:  Evid Based Complement Alternat Med       Date:  2021-12-31       Impact factor: 2.629

Review 3.  The Applications and Features of Liquid Chromatography-Mass Spectrometry in the Analysis of Traditional Chinese Medicine.

Authors:  Bingyao Pang; Ying Zhu; Longqing Lu; Fangbing Gu; Hailong Chen
Journal:  Evid Based Complement Alternat Med       Date:  2016-11-10       Impact factor: 2.629

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.