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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

A bench-top hyperspectral imaging system to classify beef from Nellore cattle based on tenderness

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Author(s):
Zanoni Nubiato, Keni Eduardo [1] ; Mazon, Madeline Rezende [2] ; Antonelo, Daniel Silva [2] ; Calkins, Chris R. [3] ; Naganathan, Govindarajan Konda [4] ; Subbiah, Jeyamkondan [4, 5] ; da Luz e Silva, Saulo [2]
Total Authors: 7
Affiliation:
[1] State Univ Northern Parana, Ctr Agr Sci, Dept Vet & Anim Prod, Campus Luiz Meneghel, BR-86360000 Bandeirantes, Parana - Brazil
[2] Univ Sao Paulo, Coll Anim Sci & Food Engn, Anim Sci Dept, BR-13635900 Pirassununga, SP - Brazil
[3] Univ Nebraska, Anim Sci, Lincoln, NE 68583 - USA
[4] Univ Nebraska, Biol Syst Engn, Lincoln, NE 68583 - USA
[5] Univ Nebraska, Food Sci & Technol, Lincoln, NE 68583 - USA
Total Affiliations: 5
Document type: Journal article
Source: INFRARED PHYSICS & TECHNOLOGY; v. 89, p. 247-254, MAR 2018.
Web of Science Citations: 3
Abstract

The aim of this study was to evaluate the accuracy of classification of Nellore beef aged for 0, 7, 14, or 21 days and classification based on tenderness and aging period using a bench-top hyperspectral imaging system. A hyperspectral imaging system (lambda = 928-2524 nm) was used to collect hyperspectral images of the Longissimus thoracis et lumborum (aging n = 376 and tenderness n = 345) of Nellore cattle. The image processing steps included selection of region of interest, extraction of spectra, and indentification and evalution of selected wavelengths for classification. Six linear discriminant models were developed to classify samples based on tenderness and aging period. The model using the first derivative of partial absorbance spectra (give wavelength range spectra) was able to classify steaks based on the tenderness with an overall accuracy of 89.8%. The model using the first derivative of full absorbance spectra was able to classify steaks based on aging period with an overall accuracy of 84.8%. The results demonstrate that the HIS may be a viable technology for classifying beef based on tenderness and aging period. (C) 2018 Elsevier B.V. All rights reserved. (AU)

FAPESP's process: 13/07985-2 - Effects of beta agonists and imunocastration on performance, carcass traits and meat quality of feedlot finished Nellore cattle
Grantee:Saulo da Luz e Silva
Support Opportunities: Regular Research Grants