FT-NIR spectroscopy and Whittaker smoother applied to joint analysis of duel-components for corn

Protein and total fat are two ingredients to measure the quality of corn. The aim of this study is to evaluate the quality of corn by the dual-component join determination though FT-NIR spectroscopic analysis. The calibration models were established by the systematic study performed respectively in the four specific regions of the whole range, the second overtone, the first overtone, and the combination. Whittaker smoother indicates its ability for improving modeling results in any of the four regions. The predictive abilities were compared between the joint analysis of protein and total fat and the separate analysis of each single component on the basis of PLS modeling. And the uncertainty in parameter was further estimated for the PLS models.