[Applications of MALDI-TOF-MS in clinical microbiology laboratory]

Med Sci (Paris). 2011 Oct;27(10):882-8. doi: 10.1051/medsci/20112710017. Epub 2011 Oct 21.
[Article in French]

Abstract

For twenty years, mass spectrometry (MS) has emerged as a particularly powerful tool for analysis and characterization of proteins in research. It is only recently that this technology, especially MALDI-TOF-MS (Matrix Assisted Laser Desorption Ionization Time-Of-Flight) has entered the field of routine microbiology. This method has proven to be reliable and safe for the identification of bacteria, yeasts, filamentous fungi and dermatophytes. MALDI-TOF-MS is a rapid, precise and cost-effective method for identification, compared to conventional phenotypic techniques or molecular biology. Its ability to analyse whole microorganisms with few sample preparation has greatly reduced the time to identification (1-2 min). Furthermore, this technology can be used to identify bacteria directly from clinical samples as blood culture bottles or urines. Future applications will be developed in order to provide direct information concerning virulence or resistance protein markers.

Publication types

  • English Abstract
  • Review

MeSH terms

  • Bacteria / chemistry
  • Bacteria / classification
  • Bacteria / isolation & purification
  • Bacterial Infections / microbiology
  • Bacterial Typing Techniques
  • Biomarkers / analysis
  • Drug Resistance
  • Fungi / chemistry
  • Fungi / classification
  • Fungi / isolation & purification
  • Humans
  • Microbiological Techniques* / instrumentation
  • Mycological Typing Techniques
  • Mycoses / microbiology
  • Species Specificity
  • Specimen Handling / methods
  • Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization / instrumentation
  • Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization / methods*
  • Virology / methods
  • Virulence
  • Virus Diseases / virology
  • Viruses / chemistry
  • Viruses / classification
  • Viruses / isolation & purification

Substances

  • Biomarkers