Study of Near-Infrared Spectra for Quantitative Analysis Using OSC-PLS Algorithm

Orthogonal signal correction (OSC) method that is a new kind of pretreatment arithmetic is put forward and is used in quantitative analysis of the volatile of the propellants after it combines with partial least squares (PLS). It is the first time that OSC-PLS method is betaken in quantitative analysis of the volatile of the propellants. OSC is used to pretreat the spectra matrix and veject the noise signal, and the spectra matrix pretreated is taken as the new independent variable matrix, then the PLS method is applied to build a calibration model. The result indicates that the accuracy obtained by OSC-PLS is better than by traditional PLS method, so this method is an important promotion to the development of NIR Diffuse Reflectance Spectroscopy Technology in this field.