Abstract
Simulated moving bed (SMB) systems are of rising interest in the purification of pharmaceuticals or specialty chemicals (racemic mixtures, proteins, organic acids, etc.). This is particularly due to their advantage in solvent reduction, obtained productivity and purities as well as investment costs in comparison to eluent chromatography. This paper evolved from the need for a readily available algorithm in order to find optimal operating conditions for SMB chromatography systems with nonlinear or coupled adsorption isotherms. The herein developed algorithm is based on a semi-deterministic two-step approach. First, optimal operating conditions with regard to an objective function are found by knowing adsorption measurements only. In a second step actual SMB results are used to adapt the initial isotherm measurements and match the simulation with the experiment. The algorithm is verified on a bench-scale SMB unit applied for the separation of a racemic epoxide with Chiralcel-OD as stationary phase. The developed algorithm improved the productivity of the investigated experimental design by 24%.
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