EVOLVING FACTOR-ANALYSIS IN THE PRESENCE OF HETEROSCEDASTIC NOISE

被引：90

作者：

KELLER, HR

MASSART, DL

LIANG, YZ

KVALHEIM, OM

机构：

[1] VRIJE UNIV BRUSSELS,INST PHARMACEUT,LAARBEEKLAAN 103,B-1090 BRUSSELS,BELGIUM

[2] UNIV BERGEN,DEPT CHEM,N-5007 BERGEN,NORWAY

来源：

ANALYTICA CHIMICA ACTA | 1992年 / 263卷 / 1-2期

关键词：

LIQUID CHROMATOGRAPHY; EVOLVING FACTOR ANALYSIS; HETEROSCEDASTIC NOISE; PEAK PURITY CONTROL;

D O I：

10.1016/0003-2670(92)85422-3

中图分类号：

O65 [分析化学];

学科分类号：

070302 ; 081704 ;

摘要：

Evolving factor analysis (EFA) is a promixing method for the analysis of multivariate data with an intrinsic order. When applying EFA for assessment of peak homogeneity in liquid chromatography, one has to be aware of instrumental and experimental difficulties. Heteroscedasticity is one of the most serious problems and leads to additional eigenvalues that may be misinterpreted as being due to an impurity. After appropriate data pretreatment, the fixed-size window EFA technique proved successful for peak purity control in liquid chromatography with photodiode-array detection. Less than 1% of a spectrally similar impurity could be detected for R(s) values as low as 0.3.

引用

页码：29 / 36

页数：8

共 10 条

[1] REALISTIC SIMULATIONS OF HIGH-PERFORMANCE LIQUID-CHROMATOGRAPHIC ULTRAVIOLET DATA FOR THE EVALUATION OF MULTIVARIATE TECHNIQUES [J].