Multivariate analysis of non-homogeneous peaks in liquid chromatography |
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Authors: | G G R Seaton A F Fell |
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Institution: | (1) Department of Pharmaceutical Chemistry, University of Bradford, BD7 1DP Bradford, UK |
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Abstract: | Summary The effects of concentration, separation and spectral similarity as factors influencing the accuracy of iterative target testing
factor analysis (ITT-FA) are investigated for three component systems by the application of analysis of variance (ANOVAR).
ANOVAR is applied over a range of peak separations to map the changing effects of the three factors with increasing overlap.
Two error responses were measured and analysed, (a) Relative cluster error (RCE) a measure of the error over all peaks in
a cluster and (b) Relative peak error (RPE) the error of an individual peak. Multicomponent analysis (MCA) a method requiringa priori spectral information, is used as a referee method for ITT-FA. |
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Keywords: | Linear diode array detectors (LDA DAD) Deconvolution Iterative target testing factor analysis (ITT-FA) Multicomponent analysis (MCA) Analysis of variance (ANOVAR) |
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