Model-based process development and evaluation of twin-column continuous capture processes with Protein A affinity resin

Abstract

Multi-column continuous chromatography has advantages of high resin capacity utilization and productivity, low buffer consumption and small footprint. Experimental optimization is often time-consuming and inefficient due to the complexity of continuous processes. In this study, a model-based approach was investigated to improve process development of twin-column continuous capture with Protein A affinity resin MabSelect PrismA. Breakthrough curves under various conditions, productivity and capacity utilization (CU) of the continuous processes under varying operating conditions were predicted. Effects of three key operating parameters (feed concentration (c0), interconnected feed residence time (RT) and breakthrough percentage control of the first column during interconnected feeding (s)) on the productivity and CU were evaluated. A recommended working window can be determined directly from contour maps to balance the trade-off between productivity and CU. The model-optimized operating conditions at varying feed concentrations were verified by experiments, which indicated that the model-based approach was feasible and reliable. The results showed that the suitable RT was 1~2 min and suitable s was 0.6~0.75 for the continuous IgG capture with MabSelect PrismA. The maximum productivity varied from 14 to 47 g/L/h with the feed IgG concentrations at the range of 1 to 10 mg/mL. The results indicated that model-based approach could assist process development efficiently and promote target-orientated process design for continuous processes.