Across countries implementation of handheld near-infrared spectrometer for the on-line prediction of beef marbling in slaughterhouse

被引:10
|
作者
Kombolo-Ngah, Moise [1 ]
Goi, Arianna [2 ]
Santinello, Matteo [2 ]
Rampado, Nicola [2 ]
Atanassova, Stefka [3 ]
Liu, Jingjing [1 ]
Faure, Pascal [4 ]
Thoumy, Laure [5 ]
Neveu, Alix [6 ]
Andueza, Donato [1 ]
De Marchi, Massimo [2 ]
Hocquette, Jean-Francois [1 ]
机构
[1] Univ Clermont Auvergne, INRAE, VetAgro Sup, UMR1213, F-63122 Saint Genes Champanelle, France
[2] Univ Padua, Dept Agron Food Nat Resources Anim & Environm DAFN, Viale Univ 16, I-35020 Legnaro, PD, Italy
[3] Trakia Univ, Fac Agr, Dept Agrarian Engn, Stara Zagora 6000, Bulgaria
[4] INRAE, Herbipole, F-63122 Theix, France
[5] IDELE, Blvd Arcades, F-87000 Limoges, France
[6] IMR3GF Int Meat Res 3G Fdn, Smulikowskiego St 4-217, PL-00389 Warsaw, Poland
基金
欧盟地平线“2020”;
关键词
MSA; Beef; NIRS; Meat quality; Longissimus thoracis; Marbling; MEAT STANDARDS AUSTRALIA; CHEMICAL-COMPOSITION; REFLECTANCE SPECTROSCOPY; INTRAMUSCULAR FAT; ONLINE PREDICTION; NIR SPECTROSCOPY; QUALITY; PRINCIPLES; TRAITS;
D O I
10.1016/j.meatsci.2023.109169
中图分类号
TS2 [食品工业];
学科分类号
0832 ;
摘要
Only few studies have used Near-Infrared (NIR) spectroscopy to assess meat quality traits directly in the chiller. The aim of this study was therefore to investigate the ability of a handheld NIR spectrometer to predict marbling scores on intact meat muscles in the chiller. A total of 829 animals from 2 slaughterhouses in France and Italy were involved. Marbling was assessed according to the 3G (Global Grading Guaranteed) protocol using 2 different scores. NIR measurements were collected by performing 5 scans at different points of the Longissimus thoracis. An average MSA marbling score of 330-340 was obtained in the two countries. The prediction models provided a R2 in external validation between 0.46 and 0.59 and a standard error of prediction between 83.1 and 105.5. Results did provide a moderate prediction of the marbling scores but can be useful in the European in-dustry context to predict classes of MSA marbling.
引用
收藏
页数:14
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