ArticleEuropean journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology2019
Evaluation of matrix-assisted laser desorption/ionization time-of-flight mass spectrometry for identifying Burkholderia pseudomallei and Burkholderia thailandensis isolates.
Article in European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Automatic Identification of MALDI-TOF MS Database Using ClassicalComputational and mathematical methods in medicine · 2022Article
- Development and evaluation of a rapid and sensitive multienzyme isothermal rapid amplification with a lateral flow dipstick assay for detection ofFrontiers in cellular and infection microbiology · 2022Article
- Research on the establishment and application of protein fingerprint spectrum database ofNew microbes and new infections · 2021Article
- A multi-country study using MALDI-TOF mass spectrometry for rapid identification of Burkholderia pseudomallei.BMC microbiology · 2021Article
- Preliminary Evaluation of Rapid Visual Identification ofFrontiers in cellular and infection microbiology · 2021Article
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Authors and funding
6 authors.
Funding
Abstract
Since Burkholderia thailandensis is included in the reference spectra of the VITEK MS libraries rather than Burkholderia pseudomallei, B. pseudomallei cannot be correctly identified in the current version of VITEK MS. This study was undertaken to evaluate the utility of matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) with the VITEK MS plus system in the detection of B. pseudomallei and B. thailandensis isolates. For each species, we increased the reference spectra, and then, a SuperSpectrum was created based on the selection of 39 specific masses. In a second step, we validated the SuperSpectra with 106 isolates identified by 16S rRNA gene sequencing. The results showed that there was 100% agreement between the validation strains analyzed by MALDI-TOF MS and those evaluated using 16S rRNA gene sequencing analysis methods. Therefore, MALDI-TOF MS is a promising, rapid, and economical method to monitor the outbreaks and spread of B. pseudomallei and B. thailandensis isolates.
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