近红外光谱分析中光谱预处理方法的作用及其发展

Progress and effect of spectral data pretreatment in NIR analytical technique

光谱预处埋方法在近红外(NIR)光谱分析技术中具有非常重要的作用。本文综述了常用的 NIR 光谱预处理方法及最新发展的几种预处理方法的原理及作用,并给出了这些方法的一些应用实例。重点分析平滑处理(smoothing)、多元散射校正(MSC)、标准正态变量校正(SNV)等常用光谱预处理方法的利弊,详细介绍小波变换(WT)、正交信号校正(OSC)等新光谱预处理方法。

Pretreatment of near - infrared spectra to remove unwanted is considered to be a crucial step for the pattern recognition, calibration transfer and construction of a quantitative calibration model. It is intended to provide an overview of the different methods for spectral data pretreatment. In the paper, the typical and commonly used pretreatment methods are described and compared the advantage with the disadvantage of smoothing, multiplicative scatter correction（MSC） and standard normal variate correction（ SNV）, etc. Some newly developed methods such as wavelet transform（WT） ,orthogonal signal correction（ OSC ）methods are introduced in detail. The algorithms and applications of those methods in NIR analysis are given and discussed.