ArticleJournal of clinical microbiology2013
Comparison between the Biflex III-Biotyper and the Axima-SARAMIS systems for yeast identification by matrix-assisted laser desorption ionization-time of flight mass spectrometry.
Article in Journal of clinical microbiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.
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Who cites it
28 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Accuracy of matrix-assisted laser desorption ionization-time of flight mass spectrometry for identification of clinical pathogenic fungi: a meta-analysis.Journal of clinical microbiology · 2014Pooled it
- Epidemiological shifts and advances in research on early diagnosis of invasive fungal infection in critically ill patients.Frontiers in cellular and infection microbiology · 2025Review
- Mass spectrometry in research laboratories and clinical diagnostic: a new era in medical mycology.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2022Review
- Bloodstream Infections Caused byAntimicrobial agents and chemotherapy · 2022Article
- An analysis of the population of Cryptococcus neoformans strains isolated from animals in Poland, in the years 2015-2019.Scientific reports · 2021Article
- InvasivePathogens (Basel, Switzerland) · 2020Review
- Mass Spectrometry: A Rosetta Stone to Learn How Fungi Interact and Talk.Life (Basel, Switzerland) · 2020Review
- Comparison between MALDI-TOF MS and MicroScan in the identification of emerging and multidrug resistant yeasts in a fourth-level hospital in Bogotá, Colombia.BMC microbiology · 2019Article
- Concordance analysis between different methodologies used for identification of oral isolates ofColombia medica (Cali, Colombia) · 2018Article
- Comparison of two matrix-assisted laser desorption ionization-time of flight mass spectrometry systems for the identification of clinical filamentous fungi.World journal of microbiology & biotechnology · 2017Article
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- Airborne Bacterial Diversity from the Low Atmosphere of Greater Mexico City.Microbial ecology · 2016Article
- Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass-Spectrometry (MALDI-TOF MS) Based Microbial Identifications: Challenges and Scopes for Microbial Ecologists.Frontiers in microbiology · 2016Review
- Identification of phlebotomine sand flies using one MALDI-TOF MS reference database and two mass spectrometer systems.Parasites & vectors · 2015Article
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- MALDI-TOF MS profiling approach: how much can we get from it?Frontiers in plant science · 2015Article
- Comparison and optimization of two MALDI-TOF MS platforms for the identification of medically relevant yeast species.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2014Article
- Development of two molecular approaches for differentiation of clinically relevant yeast species closely related to Candida guilliermondii and Candida famata.Journal of clinical microbiology · 2014Article
- Three clustered cases of candidemia caused by Candida quercitrusa and mycological characteristics of this novel species.Journal of clinical microbiology · 2014Article
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8 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) is emerging in laboratories as a new diagnostic tool for microorganism identification. We prospectively compared the performances of the Biflex III-Biotyper (Bruker Daltonics) and the Axima (Shimadzu)-SARAMIS (AnagnosTec) systems for the identification of 312 yeasts isolated from clinical specimens (249 Candida spp., including 19 C. albicans and 230 non-albicans species and 63 isolates belonging to different species of the genera Saccharomyces [20 isolates], Rhodotorula [8 isolates], Cryptococcus [8 isolates], Trichosporon [7 isolates], Pichia [7 isolates], Geotrichum [12 isolates], and Sporopachydermia cereana [1 isolate]). Species were identified by using routine conventional phenotypical methods and internal transcribed spacer (ITS) sequencing in case of discrepancy. We used expanded thresholds for species identification (log score of ≥1.7 with 3 identical consecutive propositions and no discrepancy between the duplicates for the Bruker Daltonics system and similitude of ≥40% with 5 successive identical propositions and no discrepancy between the duplicates for the Shimadzu system). Of the 312 isolates, 272 (87.2%) and 258 (82.7%) were successfully identified by the Bruker Daltonics and Shimadzu systems, respectively. All isolates were successfully identified within the most frequent and clinically relevant Candida species by the two systems. Nonvalid results corresponded mainly to species not or poorly represented in the databases. Major misidentifications were observed for 2 isolates (0.6%) by the Bruker Daltonics system and 4 isolates (1.3%) by the Shimadzu system. In conclusion, the performances of the Bruker Daltonics and the Shimadzu systems for yeast identification were good and comparable under routine clinical conditions, despite their differences in sample preparation, database content, and spectrum analysis.
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