Open AccessFT‐IR microspectroscopy: a promising method for the rapid identification of Listeria species
Author(s) -
Janbu Astrid Oust,
Møretrø Trond,
Bertrand Dominique,
Kohler Achim
Publication year - 2008
Publication title -
fems microbiology letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.899
H-Index - 151
eISSN - 1574-6968
pISSN - 0378-1097
DOI - 10.1111/j.1574-6968.2007.00995.x
Subject(s) - listeria , listeria monocytogenes , partial least squares regression , species identification , fourier transform infrared spectroscopy , chemistry , analytical chemistry (journal) , chromatography , biology , mathematics , bacteria , physics , genetics , optics , statistics
This work presents a pilot study to investigate the potential of fourier transform infrared (FT‐IR) microspectroscopy for rapid identification of Listeria at the species level. Using this technique, FT‐IR spectra were acquired from 30 strains from five Listeria species. The FT‐IR spectra were analysed using stepwise canonical discriminant analysis and partial least‐squares regression in a stepwise identification scheme. The results showed that 93% of all the samples were assigned to the correct species, and that 80% of the Listeria monocytogenes strains were correctly identified. In comparison, 100% of the samples, including the L. monocytogenes samples, were correctly identified using spectra acquired by FT‐IR macrospectroscopy. The results show that FT‐IR microspectroscopy has potential as a rapid screening method for Listeria , which is especially valuable for the food industry.