Applications of MALDI-TOF mass spectrometry in clinical diagnostic microbiology
Autor: | Croxatto, A., Prod'hom, G., Greub, G. |
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Jazyk: | angličtina |
Rok vydání: | 2012 |
Předmět: |
Animals
Bacteria/chemistry Bacteria/isolation & purification Bacterial Infections/diagnosis Bacterial Infections/microbiology Diagnostic Techniques and Procedures Fungi/chemistry Fungi/isolation & purification Humans Mycoses/diagnosis Mycoses/microbiology Spectrometry Mass Matrix-Assisted Laser Desorption-Ionization/economics Spectrometry Mass Matrix-Assisted Laser Desorption-Ionization/methods |
Zdroj: | Fems Microbiology Reviews, vol. 36, no. 2, pp. 380-407 |
Popis: | Until recently, microbial identification in clinical diagnostic laboratories has mainly relied on conventional phenotypic and gene sequencing identification techniques. The development of matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF MS) devices has revolutionized the routine identification of microorganisms in clinical microbiology laboratories by introducing an easy, rapid, high throughput, low-cost, and efficient identification technique. This technology has been adapted to the constraint of clinical diagnostic laboratories and has the potential to replace and/or complement conventional identification techniques for both bacterial and fungal strains. Using standardized procedures, the resolution of MALDI-TOF MS allows accurate identification at the species level of most Gram-positive and Gram-negative bacterial strains with the exception of a few difficult strains that require more attention and further development of the method. Similarly, the routine identification by MALDI-TOF MS of yeast isolates is reliable and much quicker than conventional techniques. Recent studies have shown that MALDI-TOF MS has also the potential to accurately identify filamentous fungi and dermatophytes, providing that specific standardized procedures are established for these microorganisms. Moreover, MALDI-TOF MS has been used successfully for microbial typing and identification at the subspecies level, demonstrating that this technology is a potential efficient tool for epidemiological studies and for taxonomical classification. |
Databáze: | OpenAIRE |
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