“How to incorporate a digitalization framework in the conceptual design, research and development of biomanufacturing processes”?
Escherichia coli-based processes for the biomanufacturing of plasmid DNA including both upstream (e.g., cell culture and plasmid amplification) and downstream processing (e.g., recovery, intermediate isolation and purification) operations.
To establish a working, lab scale manufacturing process and its corresponding in-silico representation.
Lead: IST
Duration: M13-M15
Aims to define the E. coli strains and model plasmids that will be tested, to outline an upstream benchmark process for the production of pDNA, and set up key analytics.
Lead: DTU
Duration: M14-M22
Aims at creating mathematical models for producing pDNA using E. coli. The process involves selecting an appropriate model structure that aligns with biological and physical nuances, using data from task 3.1.
Lead: TUB
Duration: M16-M24
Aims to screen for process conditions (e.g., growth conditions, media composition) that maximise the performance of the model cell/plasmid system (task 3.1) using an automated high throughput screening platform, guided by the predictive models developed by DTU (task 3.2)
Lead: IST
Duration: M17-M24
Aims to establish a working downstream processing scheme for the purification of plasmid DNA. Key data will be generated at IST that will then be used by DTU to develop digital models of the operations in Task 3.5.
Lead: DTU
Duration: M19-M27
Aims at the development and application of mathematical models, particularly mechanistic and hybrid forms, to describe the isolation and purification of pDNA from E. coli cells.
Lead: TUB
Duration: M25-M33
Aims at performing a holistic upstream and downstream process characterization, by assessing how upstream influences the downstream processing performance.
Lead: DTU
Duration: M30-M36
Aims to merge models describing both upstream and downstream processing sections into a singular, unified model, and to rigorously validate this consolidated model at the 1-2 L lab scale, ensuring it reflects real system dynamics.