Potential of multispectral imaging technology for rapid and non-destructive determination of the microbiological quality of beef filets during aerobic storage

dc.contributor.author	Panagou, EZ	en
dc.contributor.author	Papadopoulou, O	en
dc.contributor.author	Carstensen, JM	en
dc.contributor.author	Nychas, GJE	en
dc.date.accessioned	2014-06-06T06:53:06Z
dc.date.available	2014-06-06T06:53:06Z
dc.date.issued	2014	en
dc.identifier.issn	01681605	en
dc.identifier.uri	http://dx.doi.org/10.1016/j.ijfoodmicro.2013.12.026	en
dc.identifier.uri	http://62.217.125.90/xmlui/handle/123456789/6372
dc.subject	Aerobic storage	en
dc.subject	Chemometrics	en
dc.subject	Meat spoilage	en
dc.subject	Multispectral vision technology	en
dc.subject	Non-invasive methods	en
dc.subject.other	aerobic metabolism	en
dc.subject.other	article	en
dc.subject.other	beef	en
dc.subject.other	beef filet	en
dc.subject.other	Brochothrix thermosphacta	en
dc.subject.other	food spoilage	en
dc.subject.other	microflora	en
dc.subject.other	nonhuman	en
dc.subject.other	Pseudomonas	en
dc.subject.other	spectroscopy	en
dc.subject.other	storage temperature	en
dc.subject.other	Aerobic storage	en
dc.subject.other	Chemometrics	en
dc.subject.other	Meat spoilage	en
dc.subject.other	Multispectral vision technology	en
dc.subject.other	Non-invasive methods	en
dc.subject.other	Animals	en
dc.subject.other	Brochothrix	en
dc.subject.other	Calibration	en
dc.subject.other	Cattle	en
dc.subject.other	Colony Count, Microbial	en
dc.subject.other	Food Handling	en
dc.subject.other	Food Microbiology	en
dc.subject.other	Meat	en
dc.subject.other	Optical Imaging	en
dc.subject.other	Pseudomonas	en
dc.subject.other	Regression Analysis	en
dc.subject.other	Reproducibility of Results	en
dc.subject.other	Temperature	en
dc.title	Potential of multispectral imaging technology for rapid and non-destructive determination of the microbiological quality of beef filets during aerobic storage	en
heal.type	journalArticle	en
heal.identifier.primary	10.1016/j.ijfoodmicro.2013.12.026	en
heal.publicationDate	2014	en
heal.abstract	The performance of a multispectral imaging system has been evaluated in monitoring aerobically packaged beef filet spoilage at different storage temperatures (0, 4, 8, 12, and 16°C). Spectral data in the visible and short wave near infrared area (405-970nm) were collected from the surface of meat samples and correlated with microbiological data (log counts), for total viable counts (TVCs), Pseudomonas spp., and Brochothrix thermosphacta. Qualitative analysis (PLS-DA) was employed for the discrimination of meat samples in three microbiological quality classes based on the values of total viable counts, namely Class 1 (TVC<5.5log10CFU/g), Class 2 (5.5log10CFU/g<TVC<7.0log10CFU/g), and Class 3 (TVC>7.0log10CFU/g). Furthermore, PLS regression models were developed to provide quantitative estimations of microbial counts during meat storage. In both cases model validation was implemented with independent experiments at intermediate storage temperatures (2 and 10°C) using different batches of meat. Results demonstrated good performance in classifying meat samples with overall correct classification rate for the three quality classes ranging from 91.8% to 80.0% for model calibration and validation, respectively. For quantitative estimation, the calculated regression coefficients between observed and estimated counts ranged within 0.90-0.93 and 0.78-0.86 for model development and validation, respectively, depending on the microorganism. Moreover, the calculated average deviation between observations and estimations was 11.6%, 13.6%, and 16.7% for Pseudomonas spp., B. thermosphacta, and TVC, respectively. The results indicated that multispectral vision technology has significant potential as a rapid and non-destructive technique in assessing the microbiological quality of beef fillets. © 2013 Elsevier B.V.	en
heal.journalName	International Journal of Food Microbiology	en
dc.identifier.volume	174	en
dc.identifier.doi	10.1016/j.ijfoodmicro.2013.12.026	en
dc.identifier.spage	1	en
dc.identifier.epage	11	en