Numerical Short-Cut Design of Simulated Moving Bed Chromatography for Multicomponent Nonlinear Adsorption Isotherms: Nonstoichiometric Langmuir Model

For the fine chemical and pharmaceutical indus-tries, simulated moving bed (SMB) chromatography is a very promising separation process. Because of its structural and operational complexity this periodically operated multicolumn process is not easy to design and optimize. In the 1990s, Storti, Mazzotti, and Morbidelli exploited the potential of the equilibrium theory and developed a now well-established short-cut design method for the conventional four-zone SMB processes. The concept, which is known as the triangle theory, provides explicit design rules for a small set of nonlinear adsorption isotherm models and the case of processing binary feed mixtures. For the sake of extending the triangle theory to multicomponent systems, we introduce in this work a numerical short-cut method. The iterative method will be illustrated to design a conventional four-zone SMB process for the separation of quaternary mixtures obeying nonstoichiometric Langmuir isotherms. The results will be validated by comparing predicted internal concentration profiles with the results of additionally carried out true moving bed simulations.

Automated summary

SMB chromatography is a promising separation process for fine chemical and pharmaceutical industries, with the triangle theory providing design rules for conventional four-zone SMB processes. A numerical shortcut method is introduced in this study to extend the theory to multicomponent systems.