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

Loading...
Thumbnail Image

Authors

Viljoen, Margaretha
Hoffman, Louw C.
Brand, T.S.

Journal Title

Journal ISSN

Volume Title

Publisher

Elsevier

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.

Description

Keywords

Chemical composition, Mineral composition, Near infrared reflectance spectroscopy, Analytical techniques

Sustainable Development Goals

Citation

Viljoen, M, Hoffman, LC & Brand, TS 2007, ‘Prediction of the chemical composition of mutton with near infrared reflectance spectroscopy’, Small Ruminant Research, vol.69, no. 1-3, pp. 88-94.[http://www.sciencedirect.com/science/journal/09214488]