Summary
A liquid chromatographic method has been optimized by the use of an experimental design and chromatogram simulations. The strategy applied started with a statistical experimental design in which so-calledbeta coefficients were extracted from the mathematical model. Optimization was then performed by simulating the chromatographic separation with computer software.
The effects of the variables (factors) are visualized in a way that is familiar to the analytical chemist. Simulation of chromatograms from combinations of factors within the experimental design is interactively available from a contour plot describing the minimum α(=k 2/k 1) of all posible combinations of peak paris.
Results from the optimization of an HPLC method, using the optimization strategy described above, are presented. Six peaks were separated from each other within 11 min. The factors investigated were the amount of acetonitrile in the mobile phase, the concentration of phosphate buffer, and the concentration of octanesulfonate in the mobile phase.
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Harang, V., Karlsson, A. & Josefson, M. Liquid chromatography method development and optimization by statistical experimental design and chromatogram simulations. Chromatographia 54, 703–709 (2001). https://doi.org/10.1007/BF02492487
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DOI: https://doi.org/10.1007/BF02492487