A prototype rapid dual energy X-ray absorptiometry (DEXA) system can predict the CT composition of beef carcases

H. Calnan; A. Williams; J. Peterse; S. Starling; J. Cook; S. Connaughton; G.E. Gardner

doi:10.1016/j.meatsci.2020.108397

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A prototype rapid dual energy X-ray absorptiometry (DEXA) system can predict the CT composition of beef carcases

Journal article

Peer reviewed

A prototype rapid dual energy X-ray absorptiometry (DEXA) system can predict the CT composition of beef carcases

H. Calnan, A. Williams, J. Peterse, S. Starling, J. Cook, S. Connaughton and G.E. Gardner

Meat Science, Vol.173, Article 108397

2021

DOI: https://doi.org/10.1016/j.meatsci.2020.108397

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Abstract

The development of a novel rapid dual energy X-ray absorptiometry (DEXA) system provides the opportunity to improve measurement of beef carcase composition. A prototype rapid DEXA system was built in a shipping container to scan 51 beef carcases selected for a wide range in weight and fatness. One side of each carcase was spray chilled and the other conventionally chilled overnight before being quartered for DEXA scanning and then being cut into 16 pieces for CT scanning to determine carcase composition. Spray chilling did not impact DEXA prediction of CT composition, with the DEXA system describing 89%, 95%, and 87% of the variation in beef carcase CT lean %, fat % and bone %, with a root mean square error of prediction of 2.31 lean %, 2.15 fat %, and 1.12 bone % units. These results demonstrate that the novel rapid DEXA system has excellent capacity to predict CT composition in beef carcases.

Details

Title: A prototype rapid dual energy X-ray absorptiometry (DEXA) system can predict the CT composition of beef carcases
Authors/Creators: H. Calnan (Author/Creator) - Murdoch University
A. Williams (Author/Creator) - Murdoch University
J. Peterse (Author/Creator) - Murdoch University
S. Starling (Author/Creator) - Scott Automation and Robotics Pty Ltd, 10 Clevedon Street, Botany, NSW, Australia.
J. Cook (Author/Creator) - Scott Automation and Robotics Pty Ltd, 10 Clevedon Street, Botany, NSW, Australia.
S. Connaughton (Author/Creator) - Murdoch University
G.E. Gardner (Author/Creator) - Murdoch University
Publication Details: Meat Science, Vol.173, Article 108397
Publisher: Elsevier BV
Identifiers: 991005545460007891
Murdoch Affiliation: School of Veterinary and Life Sciences
Language: English
Resource Type: Journal article

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Citation topics: 3 Agriculture, Environment & Ecology; 3.51 Dairy & Animal Sciences; 3.51.206 Meat Quality
Web Of Science research areas: Food Science & Technology
ESI research areas: Agricultural Sciences