Published 2008

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Publication details

Journal : FEMS Microbiology Letters , vol. 278 , p. 164–170–7 , 2008

Publisher : Oxford University Press

International Standard Numbers :
Printed : 0378-1097
Electronic : 1574-6968

Publication type : Academic article

Contributors : Janbu, Astrid Oust; Møretrø, Trond; Bertrand, Dominique; Kohler, Achim

Issue : 2

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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.