1. Αποθετήριο Παραδοτέων Υποτρόφων Δράσεων ΕΣΠΑ Τριτοβάθμιας Εκπαίδευσης 2017-2023
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Τύπος:	Ανακοίνωση σε συνέδριο
Τίτλος:	Quantitative detection of beef, pork and chicken in meat mixtures using FT-NIR spectroscopy
Συγγραφέας:	[EL] Δημακοπούλου-Παπάζογλου, Δάφνη[EN] Dimakopoulou-Papazoglou, Dafni [EL] Μαμουγιωργη, Παρασκευή[EN] Mamougiorgi, Paraskevi [EL] Στεφάνου, Δημήτρης[EN] Stefanou, Dimitrios [EL] Κατσανίδης, Ευγένιος[EN] Katsanidis, Eugenios
Ημερομηνία:	20/05/2022
Περίληψη:	Meat and meat products are commonly consumed worldwide because of the essential nutrients and excellent source of proteins they provide. Beef meat has been a target for adulteration, because of its high cost and high demand by the consumers. Near infrared (NIR) spectroscopy has been successfully used to quantify meat composition, i.e. moisture, proteins and fat, but typically, mid-infrared (MIR) spectroscopy has been proposed for the detection of adulteration of beef meat, requiring additional, expensive equipment. The aim of the present work was to develop a rapid and non-destructive method for the detection of pork and chicken meat in minced beef mixtures using FT-NIR spectroscopy. Beef meat mixtures containing different proportions (0, 25, 50, 75, 100% w/w) of pork and chicken meat were prepared. Two experiments were conducted and 8 samples for each treatment were analyzed. In addition, to take into account the fat content, pork mixed with different percentages of pork backfat (5, 10, 15, 20, 25, 40, 50% w/w) was analyzed. FT-NIR spectra of the samples were acquired using a Jasco FTIR 6700 spectrophotometer equipped with a PIKE NIR integrating sphere. The resulting full spectra (10000 – 4000 cm-1) and selected ranges were analyzed using multivariate analysis techniques to identify and quantify chicken and pork meat addition into beef meat. The analysis of the spectra showed that the regions 8450 – 8200, 6900, 5800 – 5500, 5200 – 5100 and 4600 – 4200 cm-1 provide effective differentiation for meat adulteration. In addition, blends with different percentages of pork and pork backfat helped to better identify the peaks related to fat content. Principal Component Analysis (PCA) showed the similarities and differences among various mixtures of meat and Partial Least Squares Discriminant Analysis (PLS-DA) demonstrated a good discrimination between binary mixtures containing beef, pork and chicken blends. The PLS-DA with full spectra provided the greatest results with classification rates of 100% for all binary mixtures. Thus, the observed spectral variances between different meats can be used to predict their concentration in the mixtures. For each combination of meats, Partial Least-Square Regression models were bult for predicting the adulteration level, achieving correlation coefficients of 0.879 – 0.925 and root-meat square error of prediction of 7.22 – 9.78. The results of the FT-NIR spectroscopy confirm that this technique can provide an alternative method to determine the adulteration of meat products and may be utilized by the food industry.
Γλώσσα:	Αγγλικά
Τόπος δημοσίευσης:	Online
Σελίδες:	1
ISBN:	978-972-8765-25-5
Θεματική κατηγορία:	[EL] Επιστήμη και Τεχνολογία τροφίμων[EN] Food Science and Technology
Λέξεις-κλειδιά:	meat adulteration; FT-NIR spectroscopy; beef; pork; chicken; pork backfat; PCA; PLS-DA
Κάτοχος πνευματικών δικαιωμάτων:	© by the author(s) © 2022 Direitos reservados para Instituto Politécnico de Viseu & CERNAS-IPV • Unidade de Gestão do Centro de Estudos de Recursos Naturais, Ambiente e Sociedade
Διατίθεται ανοιχτά στην τοποθεσία:	https://www.researchgate.net/publication/378611321_Quantitative_detection_of_beef_pork_and_chicken_in_meat_mixtures_using_FT-NIR_spectroscopy
Ηλεκτρονική διεύθυνση του τεκμηρίου στον εκδότη:	https://repositorio.ipv.pt/bitstream/10400.19/7260/1/2022_Abstract%20Book_FCEM.pdf
Τίτλος πηγής δημοσίευσης:	Abstract Book: International Web Conference on Food Choice & Eating Motivation
Σελίδες τεκμηρίου (στην πηγή):	51
Όνομα εκδήλωσης:	International Web Conference on Food Choice & Eating Motivation
Τοποθεσία εκδήλωσης:	Online
Ημ/νία έναρξης εκδήλωσης:	19/05/2022
Ημ/νία λήξης εκδήλωσης:	20/05/2022
Σημειώσεις:	Dafni Dimakopoulou-Papazoglou would like to thank the Greek State Scholarships Foundation (ΙΚΥ). This research is co-financed by Greece and the European Union (European Social Fund- ESF) through the Operational Programme «Human Resources Development, Education and Lifelong Learning» in the context of the project “Reinforcement of Postdoctoral Researchers – 2nd Cycle” (MIS-5033021), implemented by the State Scholarships Foundation (ΙΚΥ).
Εμφανίζεται στις συλλογές:	Μεταδιδακτορικοί ερευνητές