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Predicting the shear value and intramuscular fat in meat from Nellore cattle using Vis-NIR spectroscopy
Visible and near-infrared spectroscopy (Vis-NIRS) was tested for its effectiveness in predicting intramuscular fat (IMF) and WBSF in Nellore steers. Beef samples from longissimus thoracis, aged for either 2 or 7 days, had their spectra collected for wavelengths ranging from 400 to 1395 nm. Partial l...
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Published in: | Meat science 2020-05, Vol.163, p.108077-108077, Article 108077 |
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Main Authors: | , , , , , , , , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
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Online Access: | Get full text |
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Summary: | Visible and near-infrared spectroscopy (Vis-NIRS) was tested for its effectiveness in predicting intramuscular fat (IMF) and WBSF in Nellore steers. Beef samples from longissimus thoracis, aged for either 2 or 7 days, had their spectra collected for wavelengths ranging from 400 to 1395 nm. Partial least squares regression models were developed for each trait. Determination coefficients of calibration models for WBSF ranged from 0.17 to 0.53. Considering WBSF in samples aged for 2 days, Vis-NIR correctly classified 100% of tough samples (>45 N), but wrongly classified all tender samples (≤45 N) as tough. Determination coefficients of calibration models for IMF ranged from 0.12 to 0.14. Vis-NIRS is a useful tool for identifying tough beef, but it is less effective in predicting tender samples and IMF. Additional studies are necessary to generate more robust models for the prediction of intramuscular fat in intact meat samples of Nellore cattle.
•Meat quality, including its tenderness, is an attribute valued by consumers.•Nellore beef was examined by visible light/near-infrared spectroscopy (Vis-NIRS).•Longissimus spectra were obtained at 48 h and after 0 and 7 days of aging.•Spectra collected after 48 h best classified meat samples for tenderness.•Vis-NIRS did not accurately predict intramuscular fat in intact samples. |
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ISSN: | 0309-1740 1873-4138 |
DOI: | 10.1016/j.meatsci.2020.108077 |