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Article Dans Une Revue Meat Science Année : 2022

Handheld near-infrared spectrometer allows on-line prediction of beef quality traits

Résumé

The aim of this study was to evaluate the ability of a miniaturized near-infrared spectrometer to predict chemical parameters, technological and quality traits, fatty acids and minerals in intact Longissimus thoracis and Trapezius obtained from the ribs of 40 Charolais cattle. Modified partial least squares regression analysis to correlate spectra information to reference values, and several scatter correction and mathematical treatments have been tested. Leave-one-out cross-validation results showed that the handheld instrument could be used to obtain a good prediction of moisture and an approximate quantitative prediction of fat or protein contents, a*, b*, shear force and purge loss with coefficients of determination above 0.66. Moreover, prediction models were satisfactory for proportions of MUFA, PUFA, oleic and palmitic acids, for Fe and Cu contents. Overall, results exhibited the usefulness of the on-line miniaturized tool to predict some beef quality traits and the possibility to use it with commercial cuts without sampling, carcass deterioration nor grinding and consequent meat products' loss.

Dates et versions

hal-03424401 , version 1 (10-11-2021)

Identifiants

Citer

Arianna Goi, Jean-François J.-F. Hocquette, Erika Pellattiero, Massimo de Marchi. Handheld near-infrared spectrometer allows on-line prediction of beef quality traits. Meat Science, 2022, 184, pp.108694. ⟨10.1016/j.meatsci.2021.108694⟩. ⟨hal-03424401⟩

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