Academic Journal

HYPERSPECTRAL IMAGING TECHNIQUE AS A STATE OF ART TECHNOLOGY IN MEAT SCIENCE

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: HYPERSPECTRAL IMAGING TECHNIQUE AS A STATE OF ART TECHNOLOGY IN MEAT SCIENCE
Συγγραφείς: Kozan, Hasan Ibrahim, Sariçoban, Cemalettin, Akyürek, Hasan Ali, Ünver, Ahmet
Πηγή: Green Chemistry & Technology Letters; Vol. 2 No. 3 (2016); 127-137 ; 2455-3611
Στοιχεία εκδότη: GIAP Journals
Έτος έκδοσης: 2016
Συλλογή: Gyandhara International Academic Publication (GIAP): Journals
Θεματικοί όροι: non-destructive method, hyperspectral imaging, meat science, rapid method, food safety, non invasive technologies
Περιγραφή: Nowadays, the concern of meat consumption, safety and quality has been popular due to some health risks such coronary heart disease, stroke and diabetes caused by the content as saturated fat, cholesterol content and carcinogenic compounds, for consumers. The importance of the need of new non-destructive and fast meat analyze methods are increasing day by day. For this, researchers have developed some methods to objectively measure the meat quality and meat safety as well as illness sources. Hyperspectral imaging technique is one of the most popular technology which combines imaging and spectroscopic technology. This technique is a non-destructive, real-time and easy-to-use detection tool for meat quality and safety assessment. It is possible to determine the chemical structure and related physical properties of meat. It is clear that hyperspectral imaging technology can be automated for manufacturing in meat industry and all of data’s obtained from the hyperspectral images which represent the chemical quality parameters of meats in the process can be saved to a database.
Τύπος εγγράφου: article in journal/newspaper
Περιγραφή αρχείου: application/pdf
Γλώσσα: English
Relation: https://giapjournals.com/gctl/article/view/gctl.2016.232/302; https://giapjournals.com/gctl/article/view/gctl.2016.232
DOI: 10.18510/gctl.2016.232
Διαθεσιμότητα: https://giapjournals.com/gctl/article/view/gctl.2016.232
https://doi.org/10.18510/gctl.2016.232
Αριθμός Καταχώρησης: edsbas.489F1A84
Βάση Δεδομένων: BASE