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

Moïse Kombolo‐Ngah, Arianna Goi, Matteo Santinello, Nicola Rampado, Stefka Atanassova, Jingjing Liu, Pascal Faure, Laure Thoumy, Alix Neveu, Donato Andueza, Massimo De Marchi, Jean-François J.-F. Hocquette

2023Meat Science21 citationsDOIOpen Access PDF

Abstract

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 industry context to predict classes of MSA marbling.

Topics & Concepts

Marbled meatLine (geometry)Mobile deviceSpectrometerInfraredEnvironmental scienceComputer scienceMathematicsAnimal scienceBiologyOpticsPhysicsWorld Wide WebGeometrySpectroscopy and Chemometric AnalysesMeat and Animal Product QualityAdvanced Chemical Sensor Technologies
Across countries implementation of handheld near-infrared spectrometer for the on-line prediction of beef marbling in slaughterhouse | Litcius