COMBINED KALMAN FILTERING AND STEEPEST DESCENT MINIMIZATION FOR QUANTITATIVE-ANALYSIS OF UNRESOLVED MISALIGNED CHROMATOGRAPHIC PEAKS - THE RESOLUTION OF ALTERNARIOL AND ALTENUISOL MYCOTOXINS IN MIXTURES BY HPLC

The potential of a computational approach for the quantitative resolution of seriously overlapping chromatographic peaks when there is loss of collinearity between the pure component peaks and the mixture peak has been explored. The program makes iterative use of the Kalman filter algorithm for resolving the mixture peak with the component peaks aligned according to some values of the position parameters, and of a steepest descent minimization procedure to find the optimal alignment. This combined procedure has been applied to the quantitive resolution of the HPLC chromatograms of alternariol and altenuisol mycotoxins in synthetic mixtures and in real samples.