Beef muscle discrimination based on two-trace two-dimensional correlation spectroscopy (2T2D COS) combined with snapshot visible-near infrared multispectral imaging
In: ISSN: 0309-1740, 2024
Online
academicJournal
Zugriff:
International audience ; The purpose of this work was to assess the potential of 2T2D COS PLS-DA (two-trace two-dimensional correlationspectroscopy and partial least squares discriminant analysis) in conjunction with Visible Near infrared multispectral imaging (MSI) as a quick, non-destructive, and precise technique for classifying three beef muscles-Longissimus thoracis, Semimembranosus, and Biceps femoris- obtained from three breeds - the Blonde d’Aquitaine,Limousine, and Aberdeen Angus. The experiment was performed on 240 muscle samples. Before performing PLSDA, spectra were extracted from MSI images and processed by SNV (Standard Normal Variate), MSC (Multivariate Scattering Correction) or AREA (area under curve equal 1) and converted in synchronous and asynchronous 2T2D COS maps. The results of the study highlighted that combining synchronous and asynchronous2T2D COS maps before performing PLS-DA was the best strategy to discriminate between the three muscles(100% of classification accuracy and 0% of error).
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Beef muscle discrimination based on two-trace two-dimensional correlation spectroscopy (2T2D COS) combined with snapshot visible-near infrared multispectral imaging
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Autor/in / Beteiligte Person: | Aït-Kaddour, Abderrahmane ; Loudiyi, Mohammed ; Boukria, Oumayma ; Safarov, Jasur ; Sultanova, Shaxnoza ; Andueza, Donato ; Listrat, Anne ; Cahyana, Yana ; Unité Mixte de Recherche sur les Herbivores - UMR 1213 (UMRH) ; VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE) ; Universitas Padjadjaran = Padjadjaran University (UnPad) ; Unité Mixte de Recherche sur le Fromage (UMRF) ; VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Clermont Auvergne (UCA) ; Université Sidi Mohamed Ben Abdellah (USMBA) ; Tashkent State Technical University |
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Zeitschrift: | ISSN: 0309-1740, 2024 |
Veröffentlichung: | HAL CCSD, 2024 |
Medientyp: | academicJournal |
DOI: | 10.1016/j.meatsci.2024.109533 |
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