Multi-column chromatographic process development using simulated moving bed superstructure and simultaneous optimization – Model correction framework

Abstract In this work, we demonstrate an improved framework for simulated moving bed (SMB) chromatographic process development using a superstructure formulation. Various optimal column configurations and operations are obtained by solving a multi-objective optimization problem representing the superstructure by maximizing feed throughput and minimizing desorbent usage. In order to resolve the model mismatch with experimental data, here we utilize the simultaneous optimization – model correction (SOMC) method in which process optimization is carried out in tandem with model correction using data obtained from experimental evaluations. The potential of the superstructure–SOMC framework has been demonstrated by separating glucose and fructose using columns packed with a cation exchange resin with water as the mobile phase. The optimal operation modes found using the superstructure included standard SMB, three zone (3Z) operation, intermittent SMB (I-SMB) and a newly found outlet stream swing (OSS) – partial feed (PF) hybrid operation. All configurations were experimentally implemented using a Semba Octave ™ 100 Chromatography System.