MULTIARRAY RESOLUTION PARAMETER FOR MULTIDETECTION CHROMATOGRAPHY - PERFORMANCE OF ALTERNATING REGRESSION, ITERATIVE TARGET TRANSFORMATION FACTOR-ANALYSIS AND HEURISTIC EVOLVING LATENT PROJECTIONS

The resolution of multicomponent chromatographic structures is quantif ied using a parameter (R(2-D)), ratioing the amount of selective infor mation with the overall information. The performance of the three curv e resolution techniques, alternating regression (AR), iterative target transformation factor analysis (ITTFA) and heuristic evolving latent projections (HELP), is evaluated on simulated two- and three-analyte s ystems. The multi-array resolution parameter (R(2-D)) showed to be a v aluable tool for a three-analyte system in predicting concentration er rors and quality of resolved spectra for the three methods. As for the curve resolution techniques, the multi-array resolution parameter its elf showed to be vulnerable to heteroscedastic noise. Overall the HELP method performed best while AR performed poorest, both regarding pred iction of concentrations and resolving spectra.