(743c) Digital Twins As Means of Process Intensification: A Case Study on Monoclonal Antibody Production
AIChE Annual Meeting
Thursday, November 19, 2020 - 8:30am to 8:45am
Digital analogues of the production setup can serve as lower-cost testing platforms to enhance understanding of the dominant process dynamics (1). These are commonly termed as âdigital twinsâ and are used for process simulation, optimisation, control and monitoring. In this work we focus on the development of a digital twin to integrate upstream and downstream processing in monoclonal antibody production, aiming to investigate the impact of the former on the latter. In particular, we investigate how different upstream operating conditions impact the downstream load, based on previously presented process models (2â4). Working under QbD principles, we explore how upstream conditions can be optimised to improve downstream performance. The operating profiles are assessed based on their performance with respect to two Key Performance Indicators (KPIs); purity and yield.
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