[Progress in the study of impact of scattering on stability of quantitative analysis model using near infrared...

Near infrared spectroscopy technology for inner quality detection and analysis is a rapid and accurate technique. The factors affecting the stability of quantitative analysis models based on NIRS especially the influence of scattering, were investigated. The methods of determination of the parameters of optical properties of sample (scattering coefficient and absorption coefficient) and the interaction between light and sample were summarized. The progress in pretreatment methods to improve the model's stability, such as transformation of standard normal variate (SNV) and multiplication scatter correction (MSC); as well as the multivariate calibration model techniques, such as partial least square (PLS) and primary component analysis regression (PCA), were also described. The model with scatter correction pretreatments and different regression methods were compared to establish a better regression equation by near Infrared reflectance spectroscopy (NIRS). Although pretreatment methods could improve the robustness of model for influence of scattering, new techniques should be employed to eliminate the error of predication under scattering condition when samples are complicated in physical states and are in the large range of concentration.