Fast discriminating the adulteration of minced mutton with near infrared spectroscopy based on support vector machine

In order to realize the nondestructive determination of the adulterated mutton,a quick method of Fourier transform near infrared( FT- NIR) spectroscopy was employed to analysis the adulteration of duck meat in minced mutton.In this work,the adulterated mutton were obtained by interfusing different percentage of duck meat,and the original spectra of mutton,adulterated mutton and duck meat in the wave- number range of 10000~4000 cm- 1were obtained by spread reflection NIR. Then the predicted effects of different support vector machine( SVM)discriminate models that established by multiplicative scatter correction( MSC),standard normal variate transformation( SNV),area normalization,autoscale,15 point smoothing and 1stderivative were evaluated. The results showed that predicted effect of different nu- SVM models built by different preprocessing methods was different.The model accuracy to discriminate mutton,duck meat adulterated into mutton and duck meat was the poorest( 90.38%) built by autoscale preprocessing method,and good prediction model was obtained using the 15 point smoothing preprocessing method and the accuracy of the training set and prediction set of the model were99.07% and 96.15%,respectively.In addition,the predicted effects of other models built by the four preprocessing methods were between the both. Therefore,the nu- SVM model built by NIR combined with 15 point smoothing preprocessing weve proved to be a feasible method to identify duck meat in minced mutton.