Predicting Flux And Pressure Relationships of Large Scale Filtration with USD Model Inputs: Method and application

Ultra Scale-Down tools have demonstrated the huge benefit for rapid process development with reduced material requirement and better solutions. In this poster, a method was reported to predict the flux and transmembrane pressure relationships of a diafiltration application for a crossflow filtration (CFF) process, based on data generated using an Ultra Scale-Down (USD) device that uses dead-end mode of operation to mimic CFF. A new flux prediction protocol was developed to accurately determine the system resistance of large scale crossflow filtration (CFF) systems, and, to predict CFF performance using USD data. Antibody fragment (Fab’) is expressed in E. coli as an intracellular product and E.coli homogenate was used for scale-up studies and to validate the prediction results. Predicted and actual flux-pressure drop and transmission data showed good agreement. Wall shear rate correlations have been established for both the lab scale cassette and the USD device, and a mimic has been developed by operating both scales at equivalent membrane averaged shear rates