Authentication of barley-finished beef using visible and near infrared spectroscopy (Vis-NIRS) and different discrimination approaches.
Meat Sci
; 172: 108342, 2021 Feb.
Article
en En
| MEDLINE
| ID: mdl-33080567
ABSTRACT
This study evaluated visible and near-infrared spectroscopy (Vis-NIRS) to authenticate barley-finished beef using different discrimination approaches. Dietary grain source (barley, corn, or blend-50% barley/50% corn) did not affect (Pâ¯>â¯0.05) meat quality but influenced (Pâ¯<â¯0.05) fatty acid profiles. The longissimus thoracis (LT) from barley-fed steers had lower n-6 fatty acid content and n-6/n-3 ratio compared to LT from corn and blended grain-fed steers. Vis-NIRS coupled with partial least square discriminant analysis (PLS-DA) and support vector machine in the linear (L-SVM) kernel classified with approximately 70% overall accuracy subcutaneous fat and intact LT samples, respectively, from barley, corn, and blended-fed cattle. When only barley and corn samples were considered, fat and intact LT samples were correctly classified with overall accuracy >94% with PLS-DA and radial/L-SVM, and approximately 90% with PLS-DA and L-SVM, respectively. Ground LT samples were classified with ≤70% overall accuracy. Vis-NIRS measurements on fat and intact LT have potential to discriminate between corn and barley-fed beef.
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Texto completo:
1
Base de datos:
MEDLINE
Asunto principal:
Carne Roja
/
Alimentación Animal
Tipo de estudio:
Prognostic_studies
Límite:
Animals
Idioma:
En
Revista:
Meat Sci
Asunto de la revista:
CIENCIAS DA NUTRICAO
Año:
2021
Tipo del documento:
Article