Antibody purification processes are typically developed using a platform approach. Optimal operating conditions for single units are found by altering just a few process parameters with Design-of-Experiment (DoE) procedures or high-throughput screenings. But what if DoE fails to find robust process conditions? This article shows how to achieve higher yields using mechanistic models to optimize an antibody purification process.
September 8, 2022