摘要
主成份分析法同多元线性回归法、因子分析法,偏最小二乘法等都是对多组份体系进行仪器分析信号解析的分析方法,该法的特点是能将维数较大的数据矩阵降维,而保留其全部有效信息,Geladi等给出了确定主成份的方法,但利用主成份对未知混合物试样进行浓度测定的报道尚不多见,本文以主成份分析法对光度法多组份体系进行了研究,采用迭代法求出各个主成份向量,利用所建立的数学模型对未知样品进行浓度测定,方法较简便。
The Principal component analysis (PCA) method for spectrophotometric determination of multicdmponent system is studied . The vector of each principal component was calculated by using gradually repeating substitution and the concentration of the unknown samples is predicted by the established mathematical model. Two demonstrations of colour reaction system are given and the results of quantitative analysis with PCA are better than those of classical least squares method.
出处
《高等学校化学学报》
SCIE
EI
CAS
CSCD
北大核心
1990年第9期1016-1018,共3页
Chemical Journal of Chinese Universities
基金
国家自然科学基金
关键词
主成分分析
多组分分析
光度法
Principal component analysis, Multicomponent analysis, Spectrophotometry, 2-(5-bromo-2-pyridylazo)-5-diethylaminophenol
