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ABSTRACT The application of Raman spectroscopy in the meat processing industry as a quality assurance is dependent on its ability to differentiate tissues from the animal. Meat is commercialised as different cuts with variations in quality and financial value. Whilst it is possible to conduct some analysis on meat quality, there are high costs and time involved. The meat processing industry could benefit from rapid methods for characterising meat quality for large quantities. This study demonstrates the ability of combining Raman spectroscopy with chemometrics to discriminate tissues in a chicken carcass. All spectra from the different tissues were analysed by applying chemometrics. The principal component analysis (PCA) and discriminant function analysis (DFA) showed successful classification of different muscles and tissues.
Shoko et al. (Thu,) studied this question.