Applications of MALDI-TOF Mass Spectrometry in Clinical Diagnostic Microbiology

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Ressource 1Download: Opota_Prodhom_Greub_Chapter 3 Applications of MALDI-TOF in clinical diagnostic microbiology_2016-04-18_Accepted version.pdf (760.71 [Ko])
State: Public
Version: Author's accepted manuscript
Serval ID
serval:BIB_F3E8E639815D
Type
A part of a book
Publication sub-type
Chapter: chapter ou part
Collection
Publications
Institution
Title
Applications of MALDI-TOF Mass Spectrometry in Clinical Diagnostic Microbiology
Title of the book
MALDI-TOF and Tandem MS for Clinical Microbiology
Author(s)
Opota Onya, Prod'hom Guy, Greub Gilbert
Publisher
John Wiley & Sons, Ltd
ISBN
9781118960226
9781118960257
Publication state
Published
Issued date
07/04/2017
Pages
55-92
Language
english
Abstract
Matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF MS) represents one of the most accurate, reliable, and fast methods for the identification of bacterial strains from positive cultures, and therefore it has largely replaced all other previously used approaches for microbial identification. The main application of MALDI-TOF MS in clinical microbiology laboratories is the identification of bacteria from colonies recovered from solid culture media. This chapter discusses specific identification procedures that are needed for some bacteria, such as Actinomycetes and Mycobacteria. The performance of MALDI-TOF MS identification relies on the number of mass spectra that reach the quality allowing identification and the number of correct identifications. MALDI-TOF MS has also been proposed for Staphylococcus aureus strain typing or for the detection of biomarkers of the most virulent toxigenic isolates. MALDI-TOF MS could also be used for Mycobacterium.
Keywords
bacterial colonies, bacterial virulence factors, clinical diagnostic microbiology, clinical virology, clustering, MALDI-TOF MS, microorganisms identification, Mycobacterium strain typing
Create date
12/01/2018 16:54
Last modification date
21/08/2019 7:11
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