Use of experimental design to model separation parameters in micellar electrokinetic chromatography

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Conference Proceeding

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A chemometric experimental design using principal component analysis and multivariate regression modeling in the form of partial-least-square-regression (PLS-1) was developed to predict the retention behavior of toluene, 1,1′-binaphthyl 2,2′-dihydrogen phosphate (BNP), and 1,1′-bi-2-naphthol (BOH) in micellar electrokinetic chromatography (MEKC). Separations of analytes were performed at various operating temperatures, applied voltages, pH values, and polymeric surfactant concentration added to the buffered system. The polymeric surfactants used were poly (sodium N-undecanoyl-L-leucylvalinate), poly(sodium N-undecanoyl-L-isoleucylvalinate), and poly(sodium N-undecylenic sulfate). The performance of the model to correctly predict migration times of the analytes was evaluated using the root mean square percent relative error (RMS%RE). The RMS%RE obtained for toluene, R_BNP, S_BNP, S_BOH, and R_BOH were 9.92, 7.08, 6.99, 14.7, and 14.1%, respectively. The models were able to correctly predict the migration times of chiral as well as achiral analytes, indicating the versatility and wide applicability of the technique in MEKC. This is an abstract of a paper presented at the 230th ACS National Meeting (Washington, DC 8/28/2005-9/1/2005).

Publication Source (Journal or Book title)

ACS National Meeting Book of Abstracts

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