Literature DB >> 20889269

[The use in routine of mass spectrometry in a hospital microbiology laboratory].

A Gravet1, G Camdessoucens-Miehé, M Gessier, A-R Peluso, B Vogelsperger-Fuchs, C Lohmann, F Schmitt, J-M Delarbre.   

Abstract

OBJECTIVES: Matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) has recently been introduced in diagnostic microbiology laboratories for the identification of microorganisms. The mass fingerprint obtained by analyzing the ribosomal proteins and proteins associated with membranes is compared to spectra and superspectra of database. Microbiological Laboratory of Mulhouse acquired this system 1 year ago.
METHOD: The MALDI-TOF MS analyses of all strains were performed on Axima(®) (Shimadzu), data analysis with Saramis(®) software (Anagnostec) and integration with SirWeb(®) software (I2A society).
RESULTS: Rapidly, laboratory technicians and biologists are able to turn the system after a few days of training. The data prospectively gathered in the present study demonstrated that MALDI-TOF mass spectrometry identification is an efficient method included fastidious bacteria. Exactly 98.8 % of 10,000 isolates were identified in genus and species levels. Use of identification techniques was seldom necessary for a few clinical relevant isolates. The database is in constant evolution. The superspectra contain characteristic signals of genus, species allowing reliable microorganism identifications with high confidence.
CONCLUSION: In conclusion, our results show that MALDI-TOF MS is a fast and reliable technique for identification of most bacterial strains routinely isolated in a clinical microbiology. Identification and susceptibility testing with a single cell colony are more often possible. The simple tests, such as Gram staining and oxidase and catalase tests are usually performed in our laboratory.
Copyright © 2010 Elsevier Masson SAS. All rights reserved.

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Year:  2011        PMID: 20889269     DOI: 10.1016/j.patbio.2010.08.008

Source DB:  PubMed          Journal:  Pathol Biol (Paris)        ISSN: 0369-8114


  2 in total

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Authors:  Norrapat Shih; Leonardo Pinto de Carvalho; Yie Hou Lee; Mauricio Macario Rocha; Adriano Henrique Pereira Barbosa; José Marconi A de Sousa; Antonio Carlos de C Carvalho; R Manjunatha Kini; Mark Y Chan
Journal:  Bioanalysis       Date:  2017-05-10       Impact factor: 2.681

2.  Performance of a New MicroScan WalkAway PC30 panel and disk diffusion method for detection of oxacillin resistance in Staphylococcus spp.

Authors:  Olivier Gallon; Patrick Pina; Alain Gravet; Frederic Laurent; Brigitte Lamy; Jean-Marie Delarbre; F Doucet-Populaire; J W Decousser
Journal:  J Clin Microbiol       Date:  2011-03-30       Impact factor: 5.948

  2 in total

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