Study on rapid identification of alkali-soaked chicken meat by near-infrared spectroscopy
A rapid identification model of alkaline-soaked chicken meat was established by using near-infrared spectral analysis combined with principal component analysis.The raw spectra were pretreated by smoothing,multiple scattering correction and first-order derivatives,and then subjected to systematic principal component analysis.The results showed that normal chicken meat and alkaline-soaked chicken meat could be clearly classified.The classification models were es-tablished by different spectral preprocessing methods using the soft independent modeling method.The results showed that by preprocessing the sample spectra with the 7-point savizkg golag method,the classification models had the highest correct rate.The correct rate of correction back judgment was 77.08％-100％and the correct rate of prediction was 81.25％-100％.The study showed that the NIR spectral analysis technique is feasible for the rapid identification of alka-li-soaked chicken meat.
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