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


Journal

Meat science
ISSN: 1873-4138
Titre abrégé: Meat Sci
Pays: England
ID NLM: 101160862

Informations de publication

Date de publication:
Jun 2023
Historique:
received: 10 09 2022
revised: 14 03 2023
accepted: 16 03 2023
medline: 7 4 2023
pubmed: 1 4 2023
entrez: 31 3 2023
Statut: ppublish

Résumé

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 R

Identifiants

pubmed: 37001445
pii: S0309-1740(23)00075-X
doi: 10.1016/j.meatsci.2023.109169
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

109169

Informations de copyright

Copyright © 2023 Elsevier Ltd. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest None.

Auteurs

Moïse Kombolo-Ngah (M)

INRAE, Clermont Auvergne, Université Clermont Auvergne, VetAgro Sup, UMR1213, Recherches sur les Herbivores, 63122 Saint Genès Champanelle, France.

Arianna Goi (A)

Department of Agronomy, Food, Natural Resources, Animals and Environment (DAFNAE), University of Padova, Viale dell'Università 16, 35020 Legnaro, PD, Italy. Electronic address: arianna.goi@unipd.it.

Matteo Santinello (M)

Department of Agronomy, Food, Natural Resources, Animals and Environment (DAFNAE), University of Padova, Viale dell'Università 16, 35020 Legnaro, PD, Italy.

Nicola Rampado (N)

Department of Agronomy, Food, Natural Resources, Animals and Environment (DAFNAE), University of Padova, Viale dell'Università 16, 35020 Legnaro, PD, Italy.

Stefka Atanassova (S)

Department of Agrarian Engineering, Faculty of Agriculture, Trakia University, 6000 Stara Zagora, Bulgaria.

Jingjing Liu (J)

INRAE, Clermont Auvergne, Université Clermont Auvergne, VetAgro Sup, UMR1213, Recherches sur les Herbivores, 63122 Saint Genès Champanelle, France.

Pascal Faure (P)

INRAE, Herbipôle, Theix 63122, France.

Laure Thoumy (L)

IDELE, Boulevard des Arcades, 87000 Limoges, France.

Alix Neveu (A)

IMR3GF International Meat Research 3G Foundation, Smulikowskiego St. 4/217, 00-389 Warsaw, Poland.

Donato Andueza (D)

INRAE, Clermont Auvergne, Université Clermont Auvergne, VetAgro Sup, UMR1213, Recherches sur les Herbivores, 63122 Saint Genès Champanelle, France.

Massimo De Marchi (M)

Department of Agronomy, Food, Natural Resources, Animals and Environment (DAFNAE), University of Padova, Viale dell'Università 16, 35020 Legnaro, PD, Italy.

Jean-François Hocquette (JF)

INRAE, Clermont Auvergne, Université Clermont Auvergne, VetAgro Sup, UMR1213, Recherches sur les Herbivores, 63122 Saint Genès Champanelle, France.

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Classifications MeSH