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Visible and Near-Infrared Multispectral Features in Conjunction with Artificial Neural Network and Partial Least Squares for Predicting Biochemical and Micro-Structural Features of Beef Muscles

Abderrahmane Aït-Kaddour 1 Donato Andueza 2 Annabelle Dubost 2 Jean-Michel Roger 3 Jean-François Hocquette 2 Anne Listrat 2
1 UMRF - Unité Mixte de Recherche sur le Fromage
2 UMRH - Unité Mixte de Recherche sur les Herbivores - UMR 1213
3 UMR ITAP - Information – Technologies – Analyse Environnementale – Procédés Agricoles
Abstract : The objective of this study was to determine the potential of multispectral imaging (MSI) data recorded in the visible and near infrared electromagnetic regions to predict the structural features of intramuscular connective tissue, the proportion of intramuscular fat (IMF), and some characteristic parameters of muscle fibers involved in beef sensory quality. In order to do this, samples from three muscles (Longissimus thoracis, Semimembranosus and Biceps femoris) of animals belonging to three breeds (Aberdeen Angus, Limousine, and Blonde d'Aquitaine) were used (120 samples). After the acquisition of images by MSI and segmentation of their morphological parameters, a back propagation artificial neural network (ANN) model coupled with partial least squares was applied to predict the muscular parameters cited above. The results presented a high accuracy and are promising (R 2 test > 0.90) for practical applications. For example, considering the prediction of IMF, the regression model giving the best ANN model exhibited R 2 P = 0.99 and RMSEP = 0.103 g × 100 g −1 DM.
Keywords : intramuscular connective tissue endomysium perimysium meat intramuscular lipids
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https://hal-vetagro-sup.archives-ouvertes.fr/hal-03081589
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Soumis le : vendredi 18 décembre 2020 - 11:22:33
Dernière modification le : vendredi 10 septembre 2021 - 16:29:31
Archivage à long terme le : : vendredi 19 mars 2021 - 20:38:41

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UMRF | ACL-SVSAE | VETAGRO-UMRF | UDL | INRAE | PRES_CLERMONT | MONTPELLIER-SUPAGRO | ITAP | UMRH | PHASE | INRAEOCCITANIEMONTPELLIER

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Abderrahmane Aït-Kaddour, Donato Andueza, Annabelle Dubost, Jean-Michel Roger, Jean-François Hocquette, et al.. Visible and Near-Infrared Multispectral Features in Conjunction with Artificial Neural Network and Partial Least Squares for Predicting Biochemical and Micro-Structural Features of Beef Muscles. Foods, MDPI, 2020, 9 (9), pp.1254. ⟨10.3390/foods9091254⟩. ⟨hal-03081589⟩

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