The biopharmaceutical industry continues to explore options for improving process development efficiency to meet the needs of today's fast and competitive market.  This presentation explores recent advances in computer simulation to improve the speed and understanding derived during process characterization of a cation exchange (CEX) chromatography step.  CEX chromatography model results from a General Rate Model are compared to experimental characterization data for a commercially relevant monoclonal antibody.   The results suggest that application of computer simulation has the potential to significantly reduce the time required for process characterization and provides a powerful tool to expand process understanding.

Case study: Model-based chromatography characterization for a monoclonal antibody cation exchange step

247th National Meeting (2014)

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