Options
Akronym
CHOLife
Projekt Titel
SPP 2170: Multiscale experimental analysis and simulation of lifelines in bioreactors to study their impact on the cultivation per-formance of Chinese Hamster Ovary (CHO) cells
Förderkennzeichen
SCHL 617/19-1
Funding code
945.03-881
945.03-1000
Startdatum
December 1, 2019
Enddatum
September 30, 2026
Gepris ID
Loading...
Institut
Principal Investigator
Co-Workers
Involved external organisation
The CHOLife+ project aims to achieve full spatiotemporal resolution for bioreactor characterisation across scales—from laboratory-scale 3 L systems to industrially relevant 15,000 L reactors. Central to this work is the investigation of mixing heterogeneities, flow behaviour, and multiscale mixing phenomena using Lagrangian Sensor Particles (LSPs) and Lattice Boltzmann Large Eddy Simulations (LB-LES). This includes the detailed analysis of particle lifelines to determine their impact on CHO cell cultivation performance.
A key element of the research is improving the reproducibility and robustness of LES simulations, ensuring that computational predictions remain reliable across scales and operating conditions. This also extends to exploring multiphase flow operation, reflecting the complexities of true industrial fermentation environments where gas–liquid interactions significantly influence mixing, transport, and residence time distributions.
The work further involves mapping and fully characterising stirred-tank reactors (STRs) and their spatiotemporal gradients, including detailed distributions of flow structures and residence times of cells and molecules based on Lagrangian lifelines.
Experimental and numerical insights are leveraged to advance the design and operation of single multi-compartment bioreactors (SMCBs) used as scale-down models at the University of Stuttgart. These systems replicate essential hydrodynamic and environmental features of large-scale industrial reactors under controlled laboratory conditions.
By integrating sensor-based measurements (LSPs), LB-LES simulations, and complementary diagnostic methods, this research provides a multi-faceted and mechanistic understanding of bioreactor performance. This includes transport and mixing efficiency, compartmentalisation, and the dynamic trajectories experienced by cells in realistic single- and multiphase environments.
A key element of the research is improving the reproducibility and robustness of LES simulations, ensuring that computational predictions remain reliable across scales and operating conditions. This also extends to exploring multiphase flow operation, reflecting the complexities of true industrial fermentation environments where gas–liquid interactions significantly influence mixing, transport, and residence time distributions.
The work further involves mapping and fully characterising stirred-tank reactors (STRs) and their spatiotemporal gradients, including detailed distributions of flow structures and residence times of cells and molecules based on Lagrangian lifelines.
Experimental and numerical insights are leveraged to advance the design and operation of single multi-compartment bioreactors (SMCBs) used as scale-down models at the University of Stuttgart. These systems replicate essential hydrodynamic and environmental features of large-scale industrial reactors under controlled laboratory conditions.
By integrating sensor-based measurements (LSPs), LB-LES simulations, and complementary diagnostic methods, this research provides a multi-faceted and mechanistic understanding of bioreactor performance. This includes transport and mixing efficiency, compartmentalisation, and the dynamic trajectories experienced by cells in realistic single- and multiphase environments.