Quantitative Prediction of Tobacco Components using Near-Infrared Diffuse Reflectance Spectroscopy

Recently, near-infrared (NIR) spectroscopy has been explored as a complementary analytical technique alongside automatic analyzers for large-volume quality control analysis of tobacco. In this study, we demonstrate the ability to accurately predict the amount of nicotine, sugar, and chloride in tobacco using the i-Spec® Plus, a portable diffuse reflectance NIR spectrometer with on-board chemometric software from B&W Tek.

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