Abstract
AbstractThe chemometrics approach was applied to the optimization of separation of quinolines in micellar liquid chromatography (MLC). The effect of four experimental parameters on chromatographic retention time was investigated by means of multivariate analysis. The factors considered were the concentration of sodium dodecyl sulfate (SDS), the organic modifier concentration and the length of its alkyl chain, and pH of the mobile phase. The experiments were performed according to a face centered cube response surface experimental design. In order to optimize the separation a Pareto‐optimality method was employed. The models were verified, because a good agreement was observed between the predicted and experimental values of the chromatographic response function in the optimal condition. The obtained regression models were characterized by both descriptive and predictive ability (R2≥0.97 and RCV2≥0.92) and allowed the chromatographic separation of the quinolines with a good resolution and a total analysis time of 50 min.
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