Abstract: To establish a method for rapid non-destructive testing of white paper shopping bags using Raman spectroscopy.A portable Raman spectrometer was used to determine the spectra of 60 white shopping paper bag samples of different brands and specifications collected under the conditions of excitation wavelength of 1064 nm,excitation power of 500 mW,and integration time of 5s.The results can be divided into three categories based on the different filler components in the samples.By combining the system clustering analysis method and Pearson correlation coefficient,the first type of samples can be analyzed and divided into four groups.The RBF neural network model is used to verify the grouping results of these samples,with an accuracy of up to 100%.This method is simple and feasible,and can provide scientific basis for the classification of paper samples,as well as technical support for the actual handling of cases by public security organs.