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Cited by 419

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

MALDI-TOF-Mass Spectrometry Applications in Clinical Microbiology

Seng, Piseth, Rolain, Jean-Marc, Fournier, Pierre Edouard, La Scola, Bernard, Drancourt, Michel, Raoult, Didier·2010·Future Microbiology

Abstract

MALDI-TOF-mass spectrometry (MS) has been successfully adapted for the routine identification of microorganisms in clinical microbiology laboratories in the past 10 years. This revolutionary technique allows for easier and faster diagnosis of human pathogens than conventional phenotypic and molecular identification methods, with unquestionable reliability and cost-effectiveness. This article will review the application of MALDI-TOF-MS tools in routine clinical diagnosis, including the identification of bacteria at the species, subspecies, strain and lineage levels, and the identification of bacterial toxins and antibiotic-resistance type. We will also discuss the application of MALDI-TOF-MS tools in the identification of Archaea, eukaryotes and viruses. Pathogenic identification from colony-cultured, blood-cultured, urine and environmental samples is also reviewed.

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Metadata

Authors
Seng, P., Rolain, J.-M., Fournier, P. E., La Scola, B., Drancourt, M., & Raoult, D.
Venue
Future Microbiology
Published
2010-11
Volume
5
Issue
11
Pages
1733-1754
ISSN
  • 1746-0913 (ISSN-L)
  • 1746-0921
OpenAlex
W2165258565
Cited by
419
References
1
FWCI
12.41
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: MALDI-TOF-Mass Spectrometry Applications in Clinical Microbiology. https://app.cochat.ai/papers/10.2217/fmb.10.127
The paper
Seng, P., Rolain, J.-M., Fournier, P. E., La Scola, B., Drancourt, M., & Raoult, D. (2010). MALDI-TOF-Mass Spectrometry Applications in Clinical Microbiology. Future Microbiology. https://doi.org/10.2217/fmb.10.127

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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.