We report the first comparative evaluation between the Bruker Biotyper MS (BMS) and the Vitek MS (VMS) for the identification of yeasts. The rate of correct identifications at the species level was comparable using the commercial databases (89.8% versus 84.3%; P = 0.712), but higher for BMS using an in-house-extended database (100% versus 84.3%; P = 0.245). Importantly, the rate of misidentification was significantly higher for VMS (1% versus 12.1%; P < 0.0001), including the rate of major errors (0% versus 4.5%; P = 0.0036). © 2013, American Society for Microbiology.

We report the first comparative evaluation between the Bruker Biotyper MS (BMS) and the Vitek MS (VMS) for the identification of yeasts. Correct identification rate at the species level was comparable using the commercial databases (89.8% vs. 84.3% p=0.712), but higher for BMS using an in-house-extended database (100% vs. 84.3% p=0.245). Importantly, the rate of misidentification was significantly higher for VMS (1% vs. 12.1% p<0.0001), including the rate of major errors (0% vs. 4.5% p=0.0036).

Comparative Evaluation of the Bruker Biotyper and Vitek MS Matrix-Assisted Laser Desorption Ionization–Time Of Flight (MALDI-TOF) Mass Spectrometry Systems for Identification of Yeasts of Medical Importance

MANCINI, NICASIO
Primo
;
CLEMENTI, NICOLA;BURIONI, ROBERTO;CLEMENTI, MASSIMO
Penultimo
;
2013-01-01

Abstract

We report the first comparative evaluation between the Bruker Biotyper MS (BMS) and the Vitek MS (VMS) for the identification of yeasts. Correct identification rate at the species level was comparable using the commercial databases (89.8% vs. 84.3% p=0.712), but higher for BMS using an in-house-extended database (100% vs. 84.3% p=0.245). Importantly, the rate of misidentification was significantly higher for VMS (1% vs. 12.1% p<0.0001), including the rate of major errors (0% vs. 4.5% p=0.0036).
2013
We report the first comparative evaluation between the Bruker Biotyper MS (BMS) and the Vitek MS (VMS) for the identification of yeasts. The rate of correct identifications at the species level was comparable using the commercial databases (89.8% versus 84.3%; P = 0.712), but higher for BMS using an in-house-extended database (100% versus 84.3%; P = 0.245). Importantly, the rate of misidentification was significantly higher for VMS (1% versus 12.1%; P < 0.0001), including the rate of major errors (0% versus 4.5%; P = 0.0036). © 2013, American Society for Microbiology.
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11768/47583
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 82
  • ???jsp.display-item.citation.isi??? 70
social impact