Potential use of near infrared reflectance spectroscopy (NIRS) for the identification of beef, llama and horse jerky
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Abstract
Visible and near infrared reflectance spectroscopy (VIS/NIRS) was evaluated as a tool to discriminate jerky from different species. Spectra were taken by reflectance in a NIRSystems 6500 monochromator and the software NIRS 3.0 and WinIsi II Version 1.02A were used. Twenty samples of jerky corresponding to beef, llama and horses, respectively, were ground, homogenized and analyzed spectrally. The regression equations (PLS) were developed testing different mathematical treatments. The results for jerky show that NIRS can successfully discriminate 100% of llama, 95% of horses and 80% of beef samples, probably as a consequence of differences in intramuscular fat, protein and water contents of the different species. Thus, NIRS is a fast, inexpensive and non-destructive method that can be used to discriminate jerky from these species
Keywords:
Discrimination of Jerky Beef Llama Horses NIRS
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