A combination of first principles models and computational fluid dynamics simulation provides characterization of bioreactor performance and key sensitivities.
The use of modern, efficient software can provide a map of performance and allow effective process scaling across a range or metrics, including mixing, mass transfer and spatial inhomogeniety.
Using recent developments in the characterisation of cell growth and fermentation processes, metrics associated with hydrodynamic stress and substrate availability can be included in bioreactor performance mapping.
Adding cell response and behaviour to process scaling provides a more complete picture of likely yield performance and opportunities for optimization.
Fully automated optimization workflows can provide the optimal trade-off between process performance metrics, and build bespoke models for yield as a function of these metrics.
Implementing an optimization approach across scales can provide yield increases at individual stages and for the complete process.
© 2022 Upstream Applied Science Ltd. Registered in England and Wales. Company No: 12118808. VAT No: 328275783
© 2022 Upstream Applied Science Ltd. Registered in England and Wales. Company No: 12118808. VAT No: 328275783