Implementing scale dependencies into computational bioreactor models to facilitate predictions of protein glycosylation in different environments

Although significant progress has been made in modeling glycosylation at small scales, scaling up to production bioreactors introduces complex gradients in nutrients, oxygen, pH, and metabolite concentrations that affect cellular performance, ultimately impacting product properties including glycosylation. This project addresses a critical need in upstream bioprocess modeling: predicting the impact of hydrodynamic heterogeneity on glycosylation outcomes during CHO based protein production for different scales and bioreactor configurations.