NIR sensitive wavelength selection based on different methods

Near infrared (NIR) sensitive wavelengths of soluble solids content (SSC) were selected based on genetic algorithms (GAs) and interval partial least square (iPLS) in Nanfeng mandarin fruits, the better result was obtained with sensitive wavelengths of 642-787 nm, 861-1152 nm and 1225-1368 nm by iPLS. Then 30 unknown samples were used to evaluate performance of the model built with sensitive wavelengths. The correlation coefficient (R) and root mean square error of prediction (RMSEP) were 0.9500 and 0.5354, respectively. It was demonstrated NIR spectroscopy combined with sensitive wavelengths selection algorithm was a powerful tool to rapidly determine SSC of Nanfeng mandarin fruits nondestructively.