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Statements

Subject Item
n2:RIV%2F75010330%3A_____%2F14%3A00010665%21RIV15-GA0-75010330
rdf:type
n9:Vysledek skos:Concept
rdfs:seeAlso
http://link.springer.com/article/10.1007%2Fs10096-014-2078-y
dcterms:description
The main goal of this work was to assess the ability of Fourier transform infrared spectroscopy with attenuated total reflectance (FTIR-ATR) to discriminate between the species of the Acinetobacter calcoaceticus-Acinetobacter baumannii (Acb) complex, i.e. A. baumannii, A. nosocomialis, A. pittii, A. calcoaceticus, genomic species %22Between 1 and 3%22 and genomic species %22Close to 13TU%22. A total of 122 clinical isolates of the Acb complex previously identified by rpoB sequencing were studied. FTIR-ATR spectra was analysed by partial least squares discriminant analysis (PLSDA) and the model scores were presented in a dendrogram form. This spectroscopic technique proved to be effective in the discrimination of the Acb complex species, with sensitivities from 90 to 100 %. Moreover, a flowchart aiming to help with species identification was developed and tested with 100 % correct predictions for A. baumannii, A. nosocomialis and A. pittii test isolates. This rapid, low cost and environmentally friendly technique proved to be a reliable alternative for the identification of these closely related Acinetobacter species that share many clinical and epidemiological characteristics and are often difficult to distinguish. Its validation towards application on a routine basis could revolutionise high-throughput bacterial identification. The main goal of this work was to assess the ability of Fourier transform infrared spectroscopy with attenuated total reflectance (FTIR-ATR) to discriminate between the species of the Acinetobacter calcoaceticus-Acinetobacter baumannii (Acb) complex, i.e. A. baumannii, A. nosocomialis, A. pittii, A. calcoaceticus, genomic species %22Between 1 and 3%22 and genomic species %22Close to 13TU%22. A total of 122 clinical isolates of the Acb complex previously identified by rpoB sequencing were studied. FTIR-ATR spectra was analysed by partial least squares discriminant analysis (PLSDA) and the model scores were presented in a dendrogram form. This spectroscopic technique proved to be effective in the discrimination of the Acb complex species, with sensitivities from 90 to 100 %. Moreover, a flowchart aiming to help with species identification was developed and tested with 100 % correct predictions for A. baumannii, A. nosocomialis and A. pittii test isolates. This rapid, low cost and environmentally friendly technique proved to be a reliable alternative for the identification of these closely related Acinetobacter species that share many clinical and epidemiological characteristics and are often difficult to distinguish. Its validation towards application on a routine basis could revolutionise high-throughput bacterial identification.
dcterms:title
Discrimination of the Acinetobacter calcoaceticus-Acinetobacter baumannii complex species by Fourier transform infrared spectroscopy Discrimination of the Acinetobacter calcoaceticus-Acinetobacter baumannii complex species by Fourier transform infrared spectroscopy
skos:prefLabel
Discrimination of the Acinetobacter calcoaceticus-Acinetobacter baumannii complex species by Fourier transform infrared spectroscopy Discrimination of the Acinetobacter calcoaceticus-Acinetobacter baumannii complex species by Fourier transform infrared spectroscopy
skos:notation
RIV/75010330:_____/14:00010665!RIV15-GA0-75010330
n5:aktivita
n6:P
n5:aktivity
P(GA13-26693S)
n5:cisloPeriodika
8
n5:dodaniDat
n8:2015
n5:domaciTvurceVysledku
n15:8880174
n5:druhVysledku
n7:J
n5:duvernostUdaju
n10:S
n5:entitaPredkladatele
n16:predkladatel
n5:idSjednocenehoVysledku
11706
n5:idVysledku
RIV/75010330:_____/14:00010665
n5:jazykVysledku
n19:eng
n5:klicovaSlova
Acinetobacter baumannii; Acinetobacter calcoaceticus; Fourier transform infrared spectroscopy
n5:klicoveSlovo
n12:Acinetobacter%20calcoaceticus n12:Acinetobacter%20baumannii n12:Fourier%20transform%20infrared%20spectroscopy
n5:kodStatuVydavatele
DE - Spolková republika Německo
n5:kontrolniKodProRIV
[FF3C00B45A33]
n5:nazevZdroje
European Journal of Clinical Microbiology and Infectious Diseases
n5:obor
n13:EE
n5:pocetDomacichTvurcuVysledku
1
n5:pocetTvurcuVysledku
6
n5:projekt
n18:GA13-26693S
n5:rokUplatneniVysledku
n8:2014
n5:svazekPeriodika
33
n5:tvurceVysledku
Nemec, Alexandr Sousa, C. Silva, L. Lopes, J. Peixe, L. Grosso, F.
n5:wos
000338723600009
s:issn
0934-9723
s:numberOfPages
9
n17:doi
10.1007/s10096-014-2078-y