[The quality assessment of cigarette paper by SIMCA and PLS combined with near infrared spectrum].

By using algorithm of SIMCA and partial least squares(PLS) combined with Fourier transform near infrared spectra (FT-NIR), the classification methods were established for the discrimination of cigarette paper. Meanwhile, the calibration models were established for the determination of the grammage, thickness, permeability, moisture and ash of cigarette paper. Correlation coefficients of the models were 0.9768, 0.9664, 0.9470, 0.956 3 and 0.9759, and the root mean square errors of cross validation (RMSECV) were 0.5614, 0.0960, 1.2741, 0.0967 and 0.2603 respectively. The methods has been applied to the determination and discrimination of unknown samples with satisfactory results.