Objective:To establish a rapid method for moisture detection of high cellulose and lignin materials.Methods:The areca nut,a Chinese herbal medicine containing high cellulose and lignin,was selected.Use a near-infrared spectrometer to collect near-infrared diffuse reflectance spectra.Apply NIR Cal modeling software to preprocess the spectral data,select the optimal feature wavelengths,and use partial least squares(PLS)analysis to establish a quantitative model for areca nut moisture content.Results:A quantitative model for areca nut moisture content was acquired,with the coefficient of determin...
