Bioreactor Process Transfer: CFD Framework for Hydrodynamic Design

Bioengineer.org (Applied Microbiology and Biotechnology) South Korea

Overview

Researchers at Yonsei University developed a CFD framework using the lattice Boltzmann method to map a shared hydrodynamic design space across stirred-tank, 1-D rocking, and orbital-rocking bioreactors. By utilizing power dissipation per unit volume (Pd/V) as a platform-independent metric, the team demonstrated that CHO cell productivity and product quality remain consistent across different platforms. This quantitative approach reduces the reliance on costly trial-and-error experiments during process transfer.

In Depth

Key Findings

The study confirms that biopharmaceutical processes can be transferred across fundamentally different bioreactor platforms without compromising product quality. Fed-batch CHO cell cultures producing monoclonal antibodies showed comparable viable cell density, productivity, and metabolite profiles across a 2-liter stirred-tank reactor (STR), a 1-D rocking bioreactor (RM20), and an orbital-rocking system (CELBIC50). Product quality attributes, verified via CE-SDS and CZE, remained structurally equivalent across all three systems.

Technical Details

To enable comparison, the team proposed power dissipation per unit volume (Pd/V) as a common currency for energy input, replacing the impeller-based P/V metric which is inapplicable to rocking systems. The CFD framework employed the lattice Boltzmann method (LBM) and large eddy simulation (LES) to resolve turbulent flow structures on GPUs. The analysis focused on three parameters: Pd/V, shear stress, and mixing time.

• Orbital-rocking (CELBIC50): Exhibited a mean shear stress of 0.012 Pa and a mixing time of 80.9 seconds.
• 1-D rocking (RM20): Exhibited a mean shear stress of 0.019 Pa and a mixing time of 146.6 seconds.

The simulations revealed that STRs create localized high-energy zones, whereas rocking systems distribute energy more uniformly through wave motion and sloshing.

Background & Context

Biopharmaceutical manufacturing utilizes diverse mixing methods depending on cost and scalability needs. However, moving a process between an STR and a rocking system has traditionally relied on guesswork because there was no quantitative way to compare how energy is dissipated into the culture. This lack of a shared metric often leads to expensive empirical cycles of trial-and-error.

Significance & Outlook

By creating a multi-constraint design space, engineers can now identify operating regions that satisfy hydrodynamic constraints across different reactor types. This framework minimizes the extensive empirical experimentation currently required for process transfer, potentially accelerating the development of new therapies by saving time, materials, and labor.

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