Optimizing model predictive control of the chromatographic multi-column solvent gradient purification (MCSGP) process

In this work, a control algorithm based on previous work for control of continuous chromatographic process is developed for the MCSGP-technology. The flow rates as well as the modifier gradients have been chosen as manipulated variables. The suitability of the controller is proven by means of two simulation case studies, i.e. the separation of monoclonal antibody variants and of a mixture of peptides.