Introduction:
Models of bioprocessing play a crucial role in understanding and optimizing biological processes. However, these models often lack information about the metabolism taking place within the bioreactor. In order to improve these models, researchers at Imperial in London have developed multiscale models that incorporate the cellular metabolism. By including this information, the models provide a more mechanistic understanding of the process, resulting in better control and interpretability of the bioprocess.
- The researchers developed multiscale models that describe the reactions occurring inside each cell and track the profile of metabolites in the bioreactor.
- These models can make projections for longer time intervals and provide a more mechanistic understanding of the bioprocess.
- Incorporating metabolic insights into the models increases the certainty of the modeling outputs and allows for better control of the bioprocess.
- Multiscale modeling that includes cellular metabolism is less reliant on condition-specific parameters and enables resource-intelligent control decisions.
- The researchers’ work highlights the importance of including metabolism in bioprocessing models to improve their accuracy and utility.
Conclusion:
By incorporating metabolic insights into models of bioprocessing, researchers can improve the accuracy and usefulness of these models. The inclusion of cellular metabolism provides a more mechanistic understanding of the process, allowing for better control and interpretability. This work demonstrates the importance of considering metabolism when building models of bioprocessing, and it has implications for the optimization and development of biological processes in various industries.
