FT-IR microspectroscopy: a promising method for the rapid identification of Listeria species.
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.
Janbu
Astrid Oust
AO
Møretrø
Trond
T
Bertrand
Dominique
D
Kohler
Achim
A
D000465:Algorithms; D015373:Bacterial Typing Techniques / Q000379:methods*; D008087:Listeria / Q000145:classification*; D010865:Pilot Projects; D015203:Reproducibility of Results; D017550:Spectroscopy, Fourier Transform Infrared / Q000379:methods*