[en] Technological and organoleptic properties of beef cuts were predicted by near-infrared (NIR) spectroscopy. Spectra were collected on 189 beef Longissimus thoracis muscle samples using, transmission (NIRT) and reflectance with a probe. Quality assessment and NIR recordings were performed on sliced loin after 2 and 8 days ageing. Partial least squares regression yielded determination coefficients of cross-validation (R-cv(2)) of 0.12-0.25 for the prediction of Warner-Bratzler Peak Shear Force in reflectance and 0.15-0.41 in transmission. Higher R-cv(2) were obtained for L* parameter (0.83-0.85), a* (0.39-0.49) and b* (0.73-0.75) with reflectance. Predictions of drip loss and cooking loss were less accurate with a R-cv(2) range of 0.38 to 0.54 and 0.25 to 0.47, respectively. The NIR spectra collected on fresh meat show good potential to predict CIE L* and b* parameters in reflectance mode. (C) 2003 Elsevier Ltd. All rights reserved.
Disciplines :
Food science
Author, co-author :
Leroy, Bernadette ; Université de Liège - ULiège > Département de sciences des denrées alimentaires > Technologie des denrées alimentaires
Lambotte, Sébastien ; Université de Liège - ULiège > Département de productique, mécanique et thermodynamique (PROMETHE) > Robotique et automatisation
Dotreppe, Olivier ; Université de Liège - ULiège > Département de productions animales > Nutrition des animaux domestiques
Lecocq, Henri ; Université de Liège - ULiège > Services généraux (Faculté des sciences appliquées) > Relations académiques et scientifiques (Sciences appliquées)
Istasse, Louis ; Université de Liège - ULiège > Département de productions animales > Nutrition des animaux domestiques
Clinquart, Antoine ; Université de Liège - ULiège > Département de sciences des denrées alimentaires > Technologie des denrées alimentaires
Language :
English
Title :
Prediction of technological and organoleptic properties of beef Longissimus thoracis from near-infrared reflectance and transmission spectra
Publication date :
2003
Journal title :
Meat Science
ISSN :
0309-1740
eISSN :
1873-4138
Publisher :
Elsevier Sci Ltd, Oxford, United Kingdom
Volume :
66
Issue :
1
Pages :
45-54
Peer reviewed :
Peer Reviewed verified by ORBi
Funders :
DGTRE - Région wallonne. Direction générale des Technologies, de la Recherche et de l'Énergie [BE]
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