Abstract
Simulated moving bed (SMB) chromatographic processes have been successfully applied to petrochemical, pharmaceutical, and fine chemical industries to separate the target products with high purity and yield since it was introduced in 1960s. Conventional four-zone SMB chromatography and its advanced variants are nowadays the most promising continuous processes for the separation of chiral active pharmaceutical ingredients (APIs). However, the design and optimization of SMB processes are still challenging issues due to their structural complexity and operational sensitivity. In this work, the equilibrium-dispersion model with nonlinear adsorption isotherms was applied for model based on-line optimization. The proposed optimization technique estimates the process states including the isotherm and kinetic parameters. The operating conditions are dynamically optimized ‘switch-by-switch’ in order to separate binary mixtures up to 99% product purity.
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