nir tobacco analysis and MIR Spectroscopy for the Detection of Adulteration of Smoking Products Feasibility of an NIR spectral

Feasibility of an NIR spectral calibration transfer algorithm based on optimized feature variables to predict tobacco samples in different states Analytical Methods (RSC Publishing) Non destructive quantification of tobacco blend components using FT NIR spectroscopy coupled with multivariate machine learning ScienceDirect Near infrared spectral quantitative analysis with reduced moisture interference using a spectral decomposition optimization algorithm: A case study on Amadori compounds in tobacco leaves ScienceDirect NIR and MIR spectral feature information fusion strategy for multivariate quantitative analysis of tobacco components ScienceDirect A Long Short Term Memory Neural Network Based Simultaneous Quantitative Analysis of Multiple Tobacco Chemical Components by Near Infrared Hyperspectroscopy Images

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