ArticleBrazilian journal of microbiology : [publication of the Brazilian Society for Microbiology]
Matrix Assisted Laser Desorption/Ionization Time of Flight Mass Spectrometry for identification of Clostridium species isolated from Saudi Arabia.
Article in Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology]. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Article
- Difficulties in identifying the bacterial species from the genus Clostridium in a case of injury-related osteitis.Folia microbiologica · 2018Article
- Identification ofJournal of food science and technology · 2018Article
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1 author.
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Abstract
The aim of this study was to identify different Clostridium spp. isolated from currency notes from the Ha'il region of Saudi Arabia in September 2014 using MALDI-TOF-MS. Clostridium spp. were identified by Bruker MALDI-TOF-MS and compared with VITEK 2. The confirmation of the presence of different Clostridium spp. was performed by determining the sequence of the 16S ribosomal RNA gene. In this study, 144 Clostridium spp. were isolated. Among these specimens, MALDI-TOF-MS could identify 88.8% (128/144) of the isolates to the species level and 92.3% (133/144) to the genus level, whereas, VITEK 2 identified 77.7% of the (112/144) isolates. The correct identification of the 144 isolates was performed by sequence analysis of the 500bp 16S rRNA gene. The most common Clostridium spp. identified were Clostridium perfringens (67.36%), Clostridium subterminale (14.58%), Clostridium sordellii (9%) and Clostridium sporogenes (9%). The results of this study demonstrate that MALDI-TOF-MS is a rapid, accurate and user friendly technique for the identification of Clostridium spp. Additionally, MALDI-TOF-MS has advantages over VITEK 2 in the identification of fastidious micro-organisms, such as Clostridium spp. Incorporating this technique into routine microbiology would lead to more successful and rapid identification of pathogenic and difficult to identify micro-organisms.
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