Computer-Assisted Modeling, Prediction, and Multifactor Optimization of Hydrophobic Compounds in Liquid Chromatography

Zhang, Yu Ping; Gong, Wen Jun; Lee, Kwang Pill; Choi, Seong Ho; Gopalan, Anantha Tyengar; Yuan, Zhiwen

doi:10.1007/s00604-005-0419-3

Cited by 4 publications

(1 citation statement)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…[1,2] In chemometric approaches, experimental measurements are performed in such a way that all variables vary together. An objective function is utilized in which the analyst introduces the desired criteria (selectivity, resolution, time of analysis).…”

Section: Introductionmentioning

confidence: 99%

Design of Experiments for Capillary Electrophoretic Enantioresolution of Tamsulosin using Sulfated‐β‐Cyclodextrin as Chiral Selector

Zhang

Gong

et al. 2007

Journal of Liquid Chromatography & Related Technologies

Self Cite

View full text Add to dashboard Cite

A method of quickly determining tamsulosin enantiomers by capillary zone electrophoresis with a photodiode array detector was developed. Response surface methodologies based on three-level, three-variable designs such as Box-Behnken design, central composite face-centered, and central composite circumscribed design, were comparatively used for the optimization with respect to selector concentration, applied voltage, and column temperature. Statistical interpretation of the variables on different responses, such as resolution and migration time of the last isomer were performed. The optimum conditions of these variables were predicted by using a second-order polynomial model, fitted to the results obtained by applying three designs. The response surface plots using three experimental designs revealed a separation optimum with 100 mM tris (hydroxymethyl) aminomethane buffered with phosphoric acid to pH ¼ 2.5, concentration of sulfated-b-cyclodextrin, 0.15% (W/V), column temperature 258C, and applied voltage of 25 kV. The significance of the statistical designs was confirmed by the generally good agreement obtained between predicted responses and actual experimental data. We have concluded that experimental designs offer a rapid means of optimizing several variables, and provide an efficient test for the robustness of the analytical method.

show abstract

Section: Introductionmentioning

confidence: 99%