解析动态光谱的奇异值分解最小二乘法的改进  

Improvement of Singular Value Decomposition Least Squares Method for Dynamic Spectrum Analysis

作　　者：李玉侠[1] 刘向峰[1] 王薇[1] 朱永春[2] 

机构地区：[1]沈阳农业大学基础部,沈阳市东陵区110161 [2]沈阳医学院,沈阳市皇姑区110034

出　　处：《光谱实验室》2002年第1期31-35,共5页Chinese Journal of Spectroscopy Laboratory

摘　　要：本文改进了处理动态光谱的奇异值分解最小二乘法 (SVDLS)。通过对模拟的蛋白质二级结构的动态圆二色谱和小牛胸腺 DNA在电化学过程中动态紫外光谱的分析 ,表明该方法不仅给出动态过程中所包含的组分数 ,而且可同时获得各组分的光谱和各组分分数的分布曲线 。The singular value decomposition least squares(SVDLS)method was improved for the various dynamic spectrum analysis.The improved method was tested with the simulated dynamic circular dichroism spectra of secondary stuctures of proteins and dynamic UV spectra of DNA of calf thymus in an electrochemical reduction process.The results show that this method can give out the number of components,the spectrum and fraction distribution of each component for various dynamic spectra.It can be used as an effective model free spectrum treatment method.

关 键 词：奇异值分解最小二乘法 动态光谱分析 圆二色谱 紫外光谱 光谱数据处理 

分 类 号：O657.3[理学—分析化学] O241.5[理学—化学]