Abstract：The aim of this research was to establish a rapid method for identifying minced beef adulterated with chicken using Raman spectroscopy combined with chemometrics. Raman spectra of 89 samples were collected and preprocessed by Savitzky–Golay smoothing. The obtained data were analyzed using principal component analysis (PCA) and cluster analysis (CA). As a result, a support vector regression (SVR) model was developed. The coefficient of determination in calibration (R2c ) for the model was 0.999 4 with a root mean square error (RMSE) of 0.230 0, and the coefficient of determination in cross-validation (R2 cv) was 0.999 3 with a RMSE of 0.298 0. The coefficient of determination in prediction was 0.971 6 with a RMSE of 0.236 0. Therefore, it is feasible to use Raman spectroscopy combined with chemometrics for rapid identification of adulterated beef with chicken.
2018, Vol. 32 
