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Cited by 639

The DOI matches its Crossref record; 80 of the 80 references it cites were found in a registry or an index.

LC-MS-based metabolomics

Open access
Zhou, Bin, Xiao, Jun Feng, Tuli, Leepika, Ressom, Habtom W·2011·Molecular BioSystems

Abstract

Metabolomics aims at identification and quantitation of small molecules involved in metabolic reactions. LC-MS has enjoyed a growing popularity as the platform for metabolomic studies due to its high throughput, soft ionization, and good coverage of metabolites. The success of a LC-MS-based metabolomic study often depends on multiple experimental, analytical, and computational steps. This review presents a workflow of a typical LC-MS-based metabolomic analysis for identification and quantitation of metabolites indicative of biological/environmental perturbations. Challenges and current solutions in each step of the workflow are reviewed. The review intends to help investigators understand the challenges in metabolomic studies and to determine appropriate experimental, analytical, and computational methods to address these challenges.

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Registry

Crossref · 10.1039/c1mb05350g

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Metadata

Authors
Zhou, B., Xiao, J. F., Tuli, L., & Ressom, H. W.
Venue
Molecular BioSystems
Published
2011-11-01
Volume
8
Issue
2
Pages
470-481
ISSN
  • 1742-2051 (ISSN-L)
  • 1742-206X
OpenAlex
W2032555174
Cited by
639
References
80
FWCI
8.58
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: LC-MS-based metabolomics. https://app.cochat.ai/papers/10.1039/c1mb05350g
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Zhou, B., Xiao, J. F., Tuli, L., & Ressom, H. W. (2011). LC-MS-based metabolomics. Molecular BioSystems. https://doi.org/10.1039/c1mb05350g

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.