Differentiation of taxonomically closely related species of the genus Acinetobacter using Raman spectroscopy and chemometrics

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F75010330%3A_____%2F19%3A00012605" target="_blank" >RIV/75010330:_____/19:00012605 - isvavai.cz</a>

Alternative codes found

RIV/00216208:11120/19:43917507

Result on the web

<a href="https://www.mdpi.com/1420-3049/24/1/168" target="_blank" >https://www.mdpi.com/1420-3049/24/1/168</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/molecules24010168" target="_blank" >10.3390/molecules24010168</a>

Result language

angličtina

Original language name

Differentiation of taxonomically closely related species of the genus Acinetobacter using Raman spectroscopy and chemometrics

Original language description

In recent years, several efforts have been made to develop quick and low cost bacterial identification methods. Genotypic methods, despite their accuracy, are laborious and time consuming, leaving spectroscopic methods as a potential alternative. Mass and infrared spectroscopy are among the most reconnoitered techniques for this purpose, with Raman having been practically unexplored. Some species of the bacterial genus Acinetobacter are recognized as etiological agents of nosocomial infections associated with high rates of mortality and morbidity, which makes their accurate identification important. The goal of this study was to assess the ability of Raman spectroscopy to discriminate between 16 Acinetobacter species belonging to two phylogroups containing taxonomically closely related species, that is, the Acinetobacter baumannii-Acinetobacter calcoaceticus complex (six species) and haemolytic clade (10 species). Bacterial spectra were acquired without the need for any sample pre-treatment and were further analyzed with multivariate data analysis, namely partial least squares discriminant analysis (PLSDA). Species discrimination was achieved through a series of sequential PLSDA models, with the percentage of correct species assignments ranging from 72.1% to 98.7%. The obtained results suggest that Raman spectroscopy is a promising alternative for identification of Acinetobacter species.

Czech name

—

Czech description

—

Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

10608 - Biochemistry and molecular biology

Project

—

Continuities

V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Publication year

2019

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Molecules

ISSN

1420-3049

e-ISSN

—

Volume of the periodical

24

Issue of the periodical within the volume

1

Country of publishing house

CH - SWITZERLAND

Number of pages

10

Pages from-to

168

UT code for WoS article

000457150200168

EID of the result in the Scopus database

2-s2.0-85059797098