Reference : Prediction of technological and organoleptic properties of beef Longissimus thoracis ...
Scientific journals : Article
Life sciences : Food science
http://hdl.handle.net/2268/8647
Prediction of technological and organoleptic properties of beef Longissimus thoracis from near-infrared reflectance and transmission spectra
English
Leroy, Bernadette mailto [Université de Liège - ULiège > Département de sciences des denrées alimentaires > Technologie des denrées alimentaires >]
Lambotte, S. [> > > >]
Dotreppe, Olivier mailto [Université de Liège - ULiège > Département de productions animales > Nutrition des animaux domestiques >]
Lecocq, H. [ > > ]
Istasse, Louis mailto [Université de Liège - ULiège > Département de productions animales > Nutrition des animaux domestiques >]
Clinquart, Antoine mailto [Université de Liège - ULiège > Département de sciences des denrées alimentaires > Technologie des denrées alimentaires >]
2003
Meat Science
Elsevier Sci Ltd
66
1
45-54
Yes (verified by ORBi)
International
0309-1740
Oxford
United Kingdom
[en] near-infrared spectroscopy ; NIRS ; reflection probe ; beef meat ; quality assessment ; meat quality
[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.
DGTRE - Région wallonne. Direction générale des Technologies, de la Recherche et de l'Energie
Researchers ; Professionals ; Students
http://hdl.handle.net/2268/8647
10.1016/S0309-1740(03)00002-0

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