Prediction of the chemical composition of mutton with near infrared reflectance spectroscopy

dc.contributor.authorViljoen M.
dc.contributor.authorHoffman L.C.
dc.contributor.authorBrand T.S.
dc.date.accessioned2011-05-15T16:00:29Z
dc.date.available2011-05-15T16:00:29Z
dc.date.issued2007
dc.description.abstractNear 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.
dc.description.versionArticle
dc.identifier.citationSmall Ruminant Research
dc.identifier.citation69
dc.identifier.citation03-Jan
dc.identifier.issn9214488
dc.identifier.other10.1016/j.smallrumres.2005.12.019
dc.identifier.urihttp://hdl.handle.net/10019.1/11720
dc.subjectOvis aries
dc.titlePrediction of the chemical composition of mutton with near infrared reflectance spectroscopy
dc.typeArticle
Files