MULTIVARIATE CURVE RESOLUTION APPLIED TO LIQUID-CHROMATOGRAPHY DIODE-ARRAY DETECTION

Multivariate curve resolution methods can be used for the quantitation of the overlapping components in a chromatographic peak. Initial qualitative solutions obtained by self-modelling curve resolution methods, such as evolving factor analysis, can be further optimized by simultaneous analysis of multiple chromatographic runs with alternating least-squares regression. Quantitation is achieved by constraining the pure unit spectra and elution profiles of the common analytes in the different chromatographic runs to be equal. The relationship between the proposed method and other higher-order calibration and resolution methods is examined.