Discrimination of Meat from Young Bulls and Culled Cows by Near Infrared Refl ectance (NIR) Spectroscopy

doi:10.7506/spkx1002-6630-201224051

Abstract

Abstract: Meat was sampled from different parts of carcasses of young bulls and culled cows of the same breed from Inner Mongolia and Xinjiang autonomous regions, China. A total 224 and 130 beef samples were obtained from cattle carcasses from Inner Mongolia and Xinjiang autonomous regions, respectively. Fresh and frozen-thawed samples were minced and tested using a portable NIR spectrometer in the range of 1000–1799 nm. Meanwhile, the contents of protein, fat and moisture and Warner-Bratzler shear force (WBSF) were measured. A total of 154 and 91 samples from Inner Mongolia and Xinjiang autonomous regions were selected as modeling sets. Two models for discriminating meat from young bulls and culled cows from both regions were established using partial least squares discriminant analysis (PLS-DA). The established models showed 100% accuracy for discriminating calibration set and validation set and 96% and 90% accuracy for the remaining 70 and 39 beef samples from Inner Mongolia and Xinjiang, respectively.

Key words: beef, classification, near infrared reflectance spectroscopy, discrimination

CLC Number:

TS251.7

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