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The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Mass spectrometry‐based metabolomics

Open access
Dettmer, Katja, Aronov, Pavel A., Hammock, Bruce D.·2007·Mass Spectrometry Reviews

Abstract

This review presents an overview of the dynamically developing field of mass spectrometry‐based metabolomics. Metabolomics aims at the comprehensive and quantitative analysis of wide arrays of metabolites in biological samples. These numerous analytes have very diverse physico‐chemical properties and occur at different abundance levels. Consequently, comprehensive metabolomics investigations are primarily a challenge for analytical chemistry and specifically mass spectrometry has vast potential as a tool for this type of investigation. Metabolomics require special approaches for sample preparation, separation, and mass spectrometric analysis. Current examples of those approaches are described in this review. It primarily focuses on metabolic fingerprinting, a technique that analyzes all detectable analytes in a given sample with subsequent classification of samples and identification of differentially expressed metabolites, which define the sample classes. To perform this complex task, data analysis tools, metabolite libraries, and databases are required. Therefore, recent advances in metabolomics bioinformatics are also discussed. © 2006 Wiley Periodicals, Inc., Mass Spec Rev 26:51–78, 2007

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Crossref · 10.1002/mas.20108

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Metadata

Authors
Dettmer, K., Aronov, P. A., & Hammock, B. D.
Venue
Mass Spectrometry Reviews
Publisher
Wiley
Published
2006-08-18
Volume
26
Issue
1
Pages
51-78
ISSN
  • 0277-7037 (ISSN-L)
  • 1098-2787
OpenAlex
W1971606140
Cited by
2,241
References
3
FWCI
22.84
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Mass spectrometry‐based metabolomics. https://app.cochat.ai/papers/10.1002/mas.20108
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Dettmer, K., Aronov, P. A., & Hammock, B. D. (2007). Mass spectrometry‐based metabolomics. Mass Spectrometry Reviews. https://doi.org/10.1002/mas.20108

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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.