Application of near infrared spectroscopy for rapid noninvasive detection of Listeria mono­cytogenes, Escherichia coli and Staphylococcus aureus growth in foods

Application of near infrared spectroscopy for rapid noninvasive detection of Listeria mono­cytogenes, Escherichia coli and Staphylococcus aureus growth in foods

Meat and cheese samples, artificially contaminated by three bacterial species: Listeria monocytogenes, Escherichia coli and Staphylococcus aureus were investigated by both microbiology and near infrared spectroscopy - NIRS. The incubation of samples at 8 °С for 14 days did not result in significant...

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Veröffentlicht in:Bulgarian journal of veterinary medicine 2011, Vol.14 (3), p.150-157
Hauptverfasser: Daskalov, H., National Diagnostic and Research Veterinary Institute, Sofia (Bulgaria), Atanassova, S., Thracian University, Stara Zagora (Bulgaria), Stoyanchev, T., Thracian University, Stara Zagora (Bulgaria)
Format: Artikel
Sprache:eng
Schlagworte:
AGENT PATHOGENE
CHEESE
ESCHERICHIA COLI
ESPECTROMETRIA
FOOD SAFETY
FROMAGE
http://www.fao.org/aos/agrovoc#c_1507
http://www.fao.org/aos/agrovoc#c_16429
http://www.fao.org/aos/agrovoc#c_26553
http://www.fao.org/aos/agrovoc#c_33700
http://www.fao.org/aos/agrovoc#c_33995
http://www.fao.org/aos/agrovoc#c_5630
http://www.fao.org/aos/agrovoc#c_6824
http://www.fao.org/aos/agrovoc#c_7283
INNOCUITE DES PRODUITS ALIMENTAIRES
INOCUIDAD ALIMENTARIA
LISTERIA MONOCYTOGENES
ORGANISMOS PATOGENOS
PATHOGENS
QUESO
SALCHICHA
SAUCISSE
SAUSAGES
SPECTROMETRIE
SPECTROMETRY
STAPHYLOCOCCUS AUREUS
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Zusammenfassung:Meat and cheese samples, artificially contaminated by three bacterial species: Listeria monocytogenes, Escherichia coli and Staphylococcus aureus were investigated by both microbiology and near infrared spectroscopy - NIRS. The incubation of samples at 8 °С for 14 days did not result in significant increase in the number of inoculated microorganisms. During the entire experimental period, microbial counts remained within 101–103 CFU/g product. Regardless of the low bacterial contamination, NIRS analysis has successfully distinguished the contaminated samples by the SIMCA model and exhibited specific spectral differences that could be used to differentiate the specific classes according to the bacterial species.
ISSN:1311-1477