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dc.contributor.authorDelgado-Pando, Gonzalo
dc.contributor.authorAllen, Paul
dc.contributor.authorTroy, Declan J.
dc.contributor.authorMcDonnell, Ciara K.
dc.date.accessioned2023-08-31T15:09:05Z
dc.date.available2023-08-31T15:09:05Z
dc.date.issued2021-05-31
dc.identifier.citationGonzalo Delgado-Pando, Paul Allen, Declan J. Troy, Ciara K. McDonnell, Objective carcass measurement technologies: Latest developments and future trends, Trends in Food Science & Technology, Volume 111, 2021, Pages 771-782, ISSN 0924-2244, https://doi.org/10.1016/j.tifs.2020.12.016.en_US
dc.identifier.urihttp://hdl.handle.net/11019/3209
dc.descriptionpeer-revieweden_US
dc.description.abstractBackgroundCarcass evaluation is a key process to ascertain the value and the quality characteristics of the animal at slaughter. In addition to being the base for monetary transactions between livestock producers and meat processors, in some countries, this evaluation also helps to determine the market allocation of cuts. Recent advances in non-invasive techniques are being tested for their potential to improve classification and grading systems in the meat industry. Scope and approachIn this review, global grading and classification practices for pig, sheep and beef carcasses are discussed along with the latest technological developments in objective carcass measurement. We discuss a number of studies predicting marketable attributes such as yield (lean and saleable meat yield), eating quality attributes (inter- and intra-muscular fat, meat and fat colour) and carcass dimensions (skeletal structure, ribeye area). Technologies based on x-ray, nuclear magnetic resonance, video image analysis, ultrasound, bioelectric impedance and spectroscopy are discussed, along with recent developments and their possible future adoption. Key findings and conclusionsDual-energy x-ray absorptiometry and magnetic induction technologies have been commercialised for the sheep and pig industries, respectively. X-ray technologies and updates in video image analysis could go beyond grading to improve yield and cut dimension predictions. Some technologies could improve process efficiencies through cut sorting and enabling robotic cutting, while also enabling improved value-based payment systems. However, there are challenges associated with their implementation in meat processing plants and further research and development is required in some areas.en_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofseriesTrends in Food Science and Technology;Vol 111
dc.rights© 2020 Published by Elsevier Ltd.
dc.rightsAttribution-NonCommercial-ShareAlike 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/*
dc.subjectGradingen_US
dc.subjectClassificationen_US
dc.subjectMeat predictionen_US
dc.subjectAutomationen_US
dc.subjectDEXAen_US
dc.subjectVIAen_US
dc.titleObjective carcass measurement technologies: Latest developments and future trendsen_US
dc.typeArticleen_US
dc.identifier.doihttps://doi.org/10.1016/j.tifs.2020.12.016
dc.contributor.sponsorMeat Technology Irelanden_US
dc.contributor.sponsorGrantNumberTC 2016 002en_US
dc.source.volume111
dc.source.beginpage771
dc.source.endpage782
refterms.dateFOA2023-08-31T15:09:06Z
dc.source.journaltitleTrends in Food Science & Technology


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© 2020 Published by Elsevier Ltd.
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