Prediction of Five Major Chemical Components in Reconstituted Tobacco Sheet with NIR Transmission Spectroscopy

In order to investigate the feasibility of predicting nicotine,total sugar,reducing sugar,total nitrogen and potassium in reconstituted tobacco sheet with NIR transmission spectroscopy,the prediction models for the five components were established with partial least square(PLS) by using 100 representative samples of reconstituted tobacco sheet as the model calibration set and other 15 samples as the validation set.The predictive results and repeatability of the models were evaluated as well.The results showed that the correlation coefficients of NIR transmission spectrum prediction models for nicotine,total sugar,reducing sugar,total nitrogen and potassium were 0.9268,0.9575,0.9252,0.8024 and 0.9665,respectively.Aside from nicotine,the average relative predictive deviations of total sugar,reducing sugar and total nitrogen models were below 5%,and the average absolute predictive deviation of potassium was lower than 0.20,the predictive RSDs of these five components were below 5%.The predictive accuracy of NIR transmission models was slightly lower than that of NIR diffuse reflection spectrum models.NIR transmission spectrometry is suitable for rapid analysis of these five components in batches of reconstituted tobacco sheet samples.