A Novel Pirani-Flowrate Correlation Soft-Sensor to Enable PAT-Based Lyophilization Endpoint Determination and Optimization

Full convergence of Pirani to capacitance manometer pressure is unnecessary and inefficient for primary/secondary drying endpoint determination. In this webinar, an exact correlation between Pirani pressure (or any type of moisture trend) and the underlying vapor flow rate is discovered experimentally. Computational fluid dynamics (CFD) modeling is then used to build a soft-sensor PAT tool to explain and predict this correlation, which enables safe reduction of the lyophilization process time. Presented by Dr. Tong Zhu, PhD, Senior Scientist, New Biological Entities (NBE), Pharmaceutical Sciences Group at AbbVie, Inc.