Prediction of the chemical composition of mutton with near infrared reflectance spectroscopy
Date
2007
Authors
Viljoen M.
Hoffman L.C.
Brand T.S.
Journal Title
Journal ISSN
Volume Title
Publisher
Abstract
Near infrared reflectance spectroscopy (NIRS) was evaluated as a tool to predict the chemical composition of freeze-dried mutton. Samples used for the ash, dry matter (DM), crude protein (CP) and fat calibrations consisted of M. longissimus dorsi (eye muscle) from 19-month-old Merino sheep, while mineral calibrations were developed with M. semimembranosus from Merino crossbreed lambs slaughtered at a live weight of 40 kg. Samples were minced, freeze-dried and analysed according to standard laboratory procedures. Samples were scanned (1100-2500 nm) and partial least-squares regression (PLSR) was used to predict the chemical and mineral composition. Multiple correlation coefficients (r) and standard error of performance (SEP) for chemical composition constituents were: ash (0.97; 0.15%), DM (0.96; 0.38%), CP (1.00; 0.92%) and fat (1.00; 0.43%), respectively. K, P, Na, Mg, Fe and Zn showed acceptable SEP values of 600, 900, 77.89, 40, 3.15 and 3.59 mg/kg, respectively. The r values ranged from 0.86 for Zn and K to 0.92 for Mg. Very low r values (0.26-0.49) were obtained for Cu, B, Mn, Ca and Al. It was concluded that NIRS could be used as a rapid tool for predicting proximate chemical composition and certain minerals in freeze-dried mutton. © 2006 Elsevier B.V. All rights reserved.
Description
Keywords
Ovis aries
Citation
Small Ruminant Research
69
03-Jan
69
03-Jan