Improving the Data Quality of Untargeted Metabolomics through a Targeted Data-Dependent Acquisition Based on an Inclusion List of Differential and Preidentified Ions-Reference-Cited by-同舟云学术

Improving the Data Quality of Untargeted Metabolomics through a Targeted Data-Dependent Acquisition Based on an Inclusion List of Differential and Preidentified Ions

Published:2023-08-18 Issue:34 Volume:95 Page:12964-12973
ISSN:0003-2700
Container-title:Analytical Chemistry
language:en
Short-container-title:Anal. Chem.

Author:

Zhang Yuhao¹,Liao Jingyu²,Le Wanqi³,Wu Gaosong³^ORCID,Zhang Weidong¹³⁴

Affiliation:

1. School of Traditional Chinese Pharmacy, China Pharmaceutical University, Nanjing, Jiangsu 211198, China

2. School of Pharmacy, Guangdong Pharmaceutical University, Guangdong 510006, China

3. Institute of Interdisciplinary Medical Sciences, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China

4. Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100193, China

Funder

National Key Research and Development Program of China

State Administration of Traditional Chinese Medicine of the People's Republic of China

National Natural Science Foundation of China

Shanghai Frontiers Science Center of TCM Chemical Biology

Publisher

American Chemical Society (ACS)

Subject

Analytical Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.analchem.3c02888

Reference32 articles.

1. Challenges and emergent solutions for LC-MS/MS based untargeted metabolomics in diseases

2. Recent advances in LC‐MS‐based metabolomics for clinical biomarker discovery

3. FUNCTIONAL METABOLOMICS DECIPHER BIOCHEMICAL FUNCTIONS AND ASSOCIATED MECHANISMS UNDERLIE SMALL‐MOLECULE METABOLISM

4. PubChem 2019 update: improved access to chemical data

5. HMDB 4.0: the human metabolome database for 2018

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