Prediction of chemical intramuscular fat and visual marbling scores with a conveyor vision scanner system on beef portion steaks.

Beef Intramuscular fat Vision scanner Visual marbling

Journal

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

Informations de publication

Date de publication:
May 2023
Historique:
received: 07 11 2022
revised: 30 12 2022
accepted: 12 02 2023
pubmed: 25 2 2023
medline: 14 3 2023
entrez: 24 2 2023
Statut: ppublish

Résumé

This study describes the performance of a Marel conveyer vision scanner, across beef carcases (n = 102) from a wide visual marbling score range, in its ability to predict chemical intramuscular fat (IMF%), Meat Standards Australia (MSA) and AUS-MEAT marbling scores of portion steaks. Vision scanner marbling scores were acquired on fresh-cut steaks, with its predictions tested using a leave-one-out cross validation method, which demonstrated precise and accurate predictions of IMF% (R

Identifiants

pubmed: 36827827
pii: S0309-1740(23)00047-5
doi: 10.1016/j.meatsci.2023.109141
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

109141

Informations de copyright

Copyright © 2023 Elsevier Ltd. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest None.

Auteurs

L Pannier (L)

Murdoch University, College of Science, Health, Engineering and Education, Western Australia 6150, Australia. Electronic address: l.pannier@murdoch.edu.au.

T M van de Weijer (TM)

Marel Meat B.V., Handelstraat 3, 5830AD, Boxmeer, the Netherlands.

F T H J van der Steen (FTHJ)

Marel Meat B.V., Handelstraat 3, 5830AD, Boxmeer, the Netherlands.

R Kranenbarg (R)

Marel Meat B.V., Handelstraat 3, 5830AD, Boxmeer, the Netherlands.

G E Gardner (GE)

Murdoch University, College of Science, Health, Engineering and Education, Western Australia 6150, Australia.

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Classifications MeSH