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

doi:10.1016/j.ces.2014.05.004

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

2014-09-01

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Balamurali Sreedhar

Yoshiaki Kawajiri *

DOI：10.1016/j.ces.2014.05.004

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Abstract

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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 (TM) 100 Chromatography System. (C) 2014 Elsevier Ltd. All rights reserved.

Keywords:

Preparative

Chromatography

SMB

Superstructure

Optimization

SOMC

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