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dc.contributor.authorFykse, Else-Marie
dc.contributor.authorTjärnhage, Torbjörn
dc.contributor.authorHumppi, Tarmo
dc.contributor.authorEggen, Vilde Sørvik
dc.contributor.authorIngebretsen, André
dc.contributor.authorSkogan, Gunnar
dc.contributor.authorOlofsson, Göran
dc.contributor.authorWästerby, Pär
dc.contributor.authorGradmark, Per-Åke
dc.contributor.authorLarsson, Anders
dc.contributor.authorDybwad, Marius
dc.contributor.authorBlatny, Janet Martha
dc.date.accessioned2015-11-27T07:06:58Z
dc.date.accessioned2016-06-17T08:51:55Z
dc.date.available2015-11-27T07:06:58Z
dc.date.available2016-06-17T08:51:55Z
dc.date.issued2015
dc.identifier.citationAerobiologia 2015en_GB
dc.identifier.urihttps://ffi-publikasjoner.archive.knowledgearc.net/handle/20.500.12242/496
dc.descriptionFykse, Else-Marie; Tjärnhage, Torbjörn; Humppi, Tarmo; Eggen, Vilde Sørvik; Ingebretsen, André; Skogan, Gunnar; Olofsson, Göran; Wästerby, Pär; Gradmark, Per-Åke; Larsson, Anders; Dybwad, Marius; Blatny, Janet Martha. Identification of airborne bacteria by 16S rDNA sequencing, MALDI-TOF MS and the MIDI microbial identification system. Aerobiologia 2015 ;Volum 31.(3) s. 271-281en_GB
dc.description.abstractThe aim of this study was to collect and identify airborne bacteria in Norway, Sweden and Finland and to compare three different technologies for identifying collected airborne bacterial isolates: the “gold standard” method 16S rDNA sequencing, MALDI-TOF MS using the MALDI Biotyper 2.0 and the MIDI Sherlock® Microbial Identification System (MIDI MIS system). Airborne bacteria were collected during three different periods from May to October 2009 using air sampling directly on agar plates. A total of 140 isolates were collected during three sampling campaigns, and 74 % (103) of these isolates were analyzed by all three methods. The dominant genera in Norway and Finland were the gram-positive bacteria Bacillus and Staphylococcus, whereas the gram-negative bacterium Acinetobacter was the dominant genus in Sweden. Using 16S rDNA sequencing, MALDI-TOF MS and MIDI MIS analysis, 83, 79 and 75 %, respectively, of the isolates were identified and assigned to order or higher taxonomic levels. In this study, the MALDI-TOF MS combining with the MALDI Biotyper 2.0 classification tool was demonstrated to be a fast and reliable alternative for identifying the airborne bacterial isolates. These studies have increased knowledge about the airborne bacterial background in outdoor air, which can be useful for evaluating and improving the operational performance of biological detectors in various environments. To our knowledge, this is the first time that 16S rDNA sequencing, MALDI-TOF MS and MIDI MIS analysis technologies have been compared for their efficiency in identifying airborne bacteria.en_GB
dc.language.isoenen_GB
dc.subjectBakterier
dc.subjectHelsevurdering
dc.subjectHelse
dc.subjectIdentifisering
dc.titleIdentification of airborne bacteria by 16S rDNA sequencing, MALDI-TOF MS and the MIDI microbial identification systemen_GB
dc.typeArticleen_GB
dc.date.updated2015-11-27T07:06:58Z
dc.identifier.cristinID1249317
dc.identifier.doi10.1007/s10453-015-9363-9
dc.source.issn1573-3025
dc.type.documentJournal article


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