Literature DB >> 26186616

Dose-dependent targeted knockout methodology combined with deep structure elucidation strategies for Chinese licorice chemical profiling.

Zhenzuo Jiang1, Yuefei Wang2, Yan Zhu1, Lei Zhang1, Xin Chai1, Miaomiao Jiang3, Lihua Shan4.   

Abstract

One of the limitations with regards to the chemical profiling of Chinese herbs is that low-level compounds are masked by high-level structures. Here, we established a novel methodology based on a dose-dependent targeted knockout (DDTK) technique combined with deep structure elucidation strategies to allow the chemical profiling of Chinese licorice. We employed ultra-performance liquid chromatography coupled with quadrupole-time-of-flight mass spectrometry (UPLC-Q/TOF MS) incorporated with the DDTK technique to identify the compounds in different concentration samples and found that the compounds at the high- or medium-level were detected readily in the sample at a low concentration; subsequently, minor or trace-level constituents were identified in the sample at a high concentration by rejecting high-level constituents detected in the sample at a low concentration based on a heart-cutting technique during analysis. In this study, among the 232 compounds detected, 27 compounds were unequivocally identified and 165 compounds, including 29 new compounds and two new natural products, were tentatively characterized. The novel methodology established in this work paves the way the further identification of compounds from complicated mixtures, especially traditional Chinese medicines.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Dose-dependent targeted knockout technique; Flavonoid glycoside alkaloids; Licorice; MS–NMR combination spectroscopy; Organic acid alkaloids; UPLC-Q/TOF MS

Mesh:

Substances:

Year:  2015        PMID: 26186616     DOI: 10.1016/j.jpba.2015.06.020

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


  3 in total

1.  Novel Chemical Ligands to Ebola Virus and Marburg Virus Nucleoproteins Identified by Combining Affinity Mass Spectrometry and Metabolomics Approaches.

Authors:  Xu Fu; Zhihua Wang; Lixin Li; Shishang Dong; Zhucui Li; Zhenzuo Jiang; Yuefei Wang; Wenqing Shui
Journal:  Sci Rep       Date:  2016-07-12       Impact factor: 4.379

2.  An integrated strategy of MS-network-based offline 2DLC-QTOF-MS/MS coupled with UHPLC-QTRAP®-MS/MS for the characterization and quantification of the non-polysaccharides in Sijunzi decoction.

Authors:  Bangjian Dong; Chongsheng Peng; Ping Ma; Xiaobo Li
Journal:  Anal Bioanal Chem       Date:  2021-04-13       Impact factor: 4.142

3.  Rapid discovery and identification of anti-inflammatory constituents from traditional Chinese medicine formula by activity index, LC-MS, and NMR.

Authors:  Shufang Wang; Haiqiang Wang; Yining Liu; Yi Wang; Xiaohui Fan; Yiyu Cheng
Journal:  Sci Rep       Date:  2016-08-08       Impact factor: 4.379

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.