OPTIMIZATION OF SELECTIVITY IN CAPILLARY ZONE ELECTROPHORESIS AND MICELLAR ELECTROKINETIC CAPILLARY CHROMATOGRAPHY USING THE ITERATIVE REGRESSION STRATEGY
H. Corstjens et al., OPTIMIZATION OF SELECTIVITY IN CAPILLARY ZONE ELECTROPHORESIS AND MICELLAR ELECTROKINETIC CAPILLARY CHROMATOGRAPHY USING THE ITERATIVE REGRESSION STRATEGY, HRC. Journal of high resolution chromatography, 18(9), 1995, pp. 551-558
An iterative regression design has been used in the optimization of se
lectivity in capillary zone electrophoresis and micellar electrokineti
c capillary chromatography. This strategy, initially developed for HPL
C, is modified in respect of the choice of the parameter(s) and the pa
rameter space and the description of the migration behavior of (charge
d) solutes in capillary electrophoresis, The six test solutes could no
t be fully resolved by adjusting the pH in a free zone system but the
simultaneous two-parameter optimization of the pH and the concentratio
n of surfactant resulted in baseline separation of all the solutes, Fu
rther improvement may be obtained when distorted peak shapes are also
considered at the level of the parameter choice and the criterion.