On-line prediction of chemical composition of semi-frozen ground beef by non-invasive NIR spectroscopy

Published 2003

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Publication details

Journal : Meat Science , vol. 63 , p. 515–523 , 2003

Publisher : Elsevier

International Standard Numbers :
Printed : 0309-1740
Electronic : 1873-4138

Publication type : Academic article

Contributors : Tøgersen, Geir; Arnesen, J.F.; Nilsen, Bjørg Narum; Hildrum, Kjell Ivar

Issue : 4

Links :
DOI : doi.org/10.1016/S0309-1740(02)...

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Kjetil Aune
Chief Librarian
kjetil.aune@nofima.no

Summary

The chemical composition of industrial scale batches of frozen beef was measured on-line during grinding by near infrared (NIR) reflectance spectroscopy. The MM55E filter based non-contact NIR instrument was mounted at the outlet of a meat grinder, and the fat, moisture and protein contents determined from the average of each filter reading throughout the grinding of the batch. The filters were selected from full spectra measurements to be as insensitive to water crystallization as possible. For on-line calibration and prediction, 55 beef batches of 400-800 kg in the range of 7.66-22.91 % fat, 59.36-71.48% moisture, and 17.04-20.76% protein, were ground through 4 or 13 mm hole plates. The regression results, presented as root mean square error of cross validation (RMSECV) were between 0.48 and 1.11% for fat, 0.43 and 0.97% for moisture and 0.41 and 0.47% for protein. (C) 2002 Elsevier Science Ltd. All rights reserved.