Article

Beef muscle discrimination based on two-trace two-dimensional correlation spectroscopy (2T2D COS) combined with snapshot visible-near infrared multispectral imaging

Abderrahmane Aït‐KaddourUniversité Clermont Auvergne, INRAE, VetAgro Sup, UMRF, Lempdes F-63370, France; Laboratory of Food Chemistry, Department of Food Technology, Universitas Padjadjaran, Bandung, Indonesia. Electronic address: [email protected]M. LoudiyiUniversité Clermont Auvergne, INRAE, VetAgro Sup, UMRF, Lempdes F-63370, FranceOumayma BoukriaApplied Organic Chemistry Laboratory, Sciences and Techniques Faculty, Sidi Mohamed Ben Abedallah University, BP 2202 route d'Immouzer, Fès, MoroccoJasur SafarovDepartment of Food Engineering, Faculty of Mechanical Building, Tashkent State Technical University named after Islam Karimov, University Str. 2, Tashkent 100095, UzbekistanShaxnoza SultanovaJoint Belarusian-Uzbek Intersectoral Institute of Applied Technical Qualifications in Tashkent, 111200, Tashkent region, Kibray district, Koramurt street, 1, UzbekistanDonato AnduezaUniversité Clermont Auvergne, INRAE, VetAgro Sup, UMR Herbivores, Saint-Genès-Champanelle F-63122, FranceAnne ListratUniversité Clermont Auvergne, INRAE, VetAgro Sup, UMR Herbivores, Saint-Genès-Champanelle F-63122, FranceYana CahyanaLaboratory of Food Chemistry, Department of Food Technology, Universitas Padjadjaran, Bandung, Indonesia

Meat Sciencejournal2024en

ABI

Abstract

The purpose of this work was to assess the potential of 2T2D COS PLS-DA (two-trace two-dimensional correlation spectroscopy 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 PLS-DA, 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 asynchronous 2T2D COS maps before performing PLS-DA was the best strategy to discriminate between the three muscles (100% of classification accuracy and 0% of error).

Topics

Spectroscopy and Chemometric Analyses Meat and Animal Product Quality Spectroscopy Techniques in Biomedical and Chemical Research

Identifiers

DOI: 10.1016/j.meatsci.2024.109533

Citations and references

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