Combining multidimensional chromatography-mass spectrometry and feature-based molecular networking methods for the systematic characterization of compounds in the supercritical fluid extract of <i>Tripterygium wilfordii Hook F</i>-Reference-Cited by-同舟云学术

Combining multidimensional chromatography-mass spectrometry and feature-based molecular networking methods for the systematic characterization of compounds in the supercritical fluid extract of Tripterygium wilfordii Hook F

Published:2023 Issue:1 Volume:148 Page:61-73
ISSN:0003-2654
Container-title:The Analyst
language:en
Short-container-title:Analyst

Author:

Qu Boquan¹²,Liu Yanfang¹³^ORCID,Shen Aijin¹³,Guo Zhimou¹³^ORCID,Yu Long¹³,Liu Dian¹,Huang Feifei³,Peng Ting³,Liang Xinmiao¹³^ORCID

Affiliation:

1. Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China

2. University of Chinese Academy of Sciences, Beijing 100049, China

3. Jiangxi Provincial Key Laboratory for Pharmacodynamic Material Basis of Traditional Chinese Medicine, Ganjiang Chinese Medicine Innovation Center, Nanchang 330000, China

Abstract

A total of 324 compounds were systematically characterized by feature-based molecular networking. This work provides an efficient strategy for the rapid discovery and characterization of unknown compounds in natural products.

Funder

Central Asian Center of Drug Discovery and Development, Chinese Academy of Sciences

Liaoning Revitalization Talents Program

Publisher

Royal Society of Chemistry (RSC)

Subject

Electrochemistry,Spectroscopy,Environmental Chemistry,Biochemistry,Analytical Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2023/AN/D2AN01471H

Reference38 articles.

1. Exploring Antiparasitic Molecule Sources from Timber by-Product Industries—Leishmanicidal and Trypanocidal Compounds from Clathrotropis brunnea Amshoff

2. Target Prediction Model for Natural Products Using Transfer Learning