Abstract: A rapid and non-destructive testing model of gum-injected meat was established by using near-infrared hyperspectral imaging technique combined with chemometrics method. First,hyperspectral images of gum-injected meat with different concentrations of carrageenan were obtained,and then the spectral data were extracted from the images. The quantitative relationship between spectral information and carrageenan with different adulteration ratios was investigated by partial least squares(PLS). As a result,the root mean square error(RMSE)of the PLS model using the full spectrum for calibration and prediction set was 1.74% and 3.16%,respectively. The results showed the PLS model with full spectrum had high accuracy. The 11 optimal wavelengths were selected from the full spectra by successive projection algorithm(SPA). The new SPA-PLS model was established to simplify the PLS model and the prediction performance was verified. It indicated that the PLS model combined with SPA showed the better predictive performance. The SPA-PLS had correlation coefficient of 0.93,root mean square error of 3.51% and residual predictive deviation(RPD)of 2.66. The experiment demonstrated that it was feasible to conduct rapid and non-destructive detection of gum-injected pork by hyperspectral imaging technology.