BoxCar data-dependent acquisition improves the MS/MS coverage in liquid chromatography-mass spectrometry-based metabolomics analysis-Reference-Cited by-同舟云学术

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BoxCar data-dependent acquisition improves the MS/MS coverage in liquid chromatography-mass spectrometry-based metabolomics analysis

Published:2023-12 Issue:12 Volume:16 Page:105325
ISSN:1878-5352
Container-title:Arabian Journal of Chemistry
language:en
Short-container-title:Arabian Journal of Chemistry

Author:

Wang Yang^ORCID,Liu Shuying

Funder

Anhui University of Chinese Medicine

Department of Science and Technology of Jilin Province

Jilin Scientific and Technological Development Program

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

General Chemical Engineering,General Chemistry

Reference35 articles.

1. New steroidal glycosides from the fruits of Tribulus terrestris;Bedir;J. Nat. Prod.,2000

2. Bridging the gap between comprehensive extraction protocols in plant metabolomics studies and method validation;Bijttebier;Anal. Chim. Acta,2016

3. Software tools and approaches for compound identification of LC-MS/MS data in metabolomics;Blaženović;Metabolites,2018

4. Enhanced detection and identification in metabolomics by use of LC–MS/MS untargeted analysis in combination with gas-phase fractionation;Calderón-Santiago;Anal. Chem.,2014

5. Challenges, progress and promises of metabolite annotation for LC–MS-based metabolomics;Chaleckis;Curr. Opin. Biotech.,2019

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1. Application of molecular networking to improve the compound annotation in liquid chromatography–mass spectrometry–based metabolomics analysis: A case study of Bupleuri radix;Phytochemical Analysis;2024-06-24

2. Annotation of DOM metabolomes with an ultrahigh resolution mass spectrometry molecular formula library;2024-04-30

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