Literature DB >> 28866114

Traditional approaches versus mass spectrometry in bacterial identification and typing.

Angela Sloan1, Gehua Wang1, Keding Cheng2.   

Abstract

Biochemical methods such as metabolite testing and serotyping are traditionally used in clinical microbiology laboratories to identify and categorize microorganisms. Due to the large variety of bacteria, identifying representative metabolites is tedious, while raising high-quality antisera or antibodies unique to specific biomarkers used in serotyping is very challenging, sometimes even impossible. Although serotyping is a certified approach for differentiating bacteria such as E. coli and Salmonella at the subspecies level, the method is tedious, laborious, and not practical during an infectious disease outbreak. Mass spectrometry (MS) platforms, especially matrix assisted laser desorption and ionization-time of flight mass spectrometry (MALDI-TOF-MS), have recently become popular in the field of bacterial identification due to their fast speed and low cost. In the past few years, we have used liquid chromatography-tandem mass spectrometry (LC-MS/MS)-based approaches to solve various problems hindering serotyping and have overcome some insufficiencies of the MALDI-TOF-MS platform. The current article aims to review the characteristics, advantages, and disadvantages of MS-based platforms over traditional approaches in bacterial identification and categorization. Crown
Copyright © 2017. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Bacterial identification, serotyping; Mass spectrometry

Mesh:

Year:  2017        PMID: 28866114     DOI: 10.1016/j.cca.2017.08.035

Source DB:  PubMed          Journal:  Clin Chim Acta        ISSN: 0009-8981            Impact factor:   3.786


  11 in total

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Review 8.  Potential of Therapeutic Bacteriophages in Nosocomial Infection Management.

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Journal:  Front Microbiol       Date:  2021-01-28       Impact factor: 5.640

9.  Tracking of Intentionally Inoculated Lactic Acid Bacteria Strains in Yogurt and Probiotic Powder.

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Journal:  Microorganisms       Date:  2019-12-18

10.  Fast and Accurate Bacterial Species Identification in Urine Specimens Using LC-MS/MS Mass Spectrometry and Machine Learning.

Authors:  Florence Roux-Dalvai; Clarisse Gotti; Mickaël Leclercq; Marie-Claude Hélie; Maurice Boissinot; Tabiwang N Arrey; Claire Dauly; Frédéric Fournier; Isabelle Kelly; Judith Marcoux; Julie Bestman-Smith; Michel G Bergeron; Arnaud Droit
Journal:  Mol Cell Proteomics       Date:  2019-10-04       Impact factor: 5.911

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