PIECE-WISE MULTIPLICATIVE SCATTER CORRECTION APPLIED TO NEAR-INFRAREDDIFFUSE TRANSMITTANCE DATA FROM MEAT-PRODUCTS

This paper presents a nonlinear scatter correction method, called piec e-wise multiplicative scatter correction (PMSC), that is a further dev elopment of the multiplicative scatter correction (MSC) method. Near-i nfrared diffuse transmittance (NIT) data from meat and meat product sa mples were used to test the predictive performances of the PMSC and th e MSC methods. With the use of PMSC, the prediction errors, expressed as the root mean square error of prediction (RMSEP), were improved by up to 36% for protein, up to 55% for fat, and up to 37% for water, in comparison to uncorrected data. The corresponding improvements by usin g PMSC compared to MSC were up to 22%, 24%, and 31% for protein, fat, and water, respectively.