Researchers Minki Kim, Daniel M. Harris, and Radu Cimpeanu from the University of Strathclyde have developed a computational framework to better understand and optimize rocking bioreactors, which are gaining traction in the cultivated meat industry.
Rocking or wave-mixed bioreactors are attractive for cultivated meat production due to their disposability, low operating costs, and scalability. However, their performance can vary widely based on design and operating conditions. To address this, the researchers created a detailed simulation model using the open-source Basilisk platform. This model accurately captures the complex fluid motion within these bioreactors, allowing for the evaluation of key factors like mixing efficiency, oxygen transfer, and the impact of shear stress on cells.
The study found that the mixing time and oxygen transfer rates are strongly influenced by steady streaming, a phenomenon that underlies the instantaneous laminar flow within the bioreactor. The researchers also identified two critical hydrodynamic phenomena: the transition from laminar to turbulent flow and the occurrence of resonance under specific operating conditions. Resonance, in particular, can enhance mixing and oxygen transfer, which are crucial for cell growth.
Moreover, the study highlighted the potential effects of shear stress and energy dissipation on cell survival, providing valuable insights for designing optimized bioreactors. By understanding these factors, the cultivated meat industry can improve bioreactor performance, leading to more efficient and cost-effective production processes.
This research was published in the journal Bioreactor Engineering, offering a significant step forward in the development of next-generation bioreactors for the cultivated meat industry. The findings are expected to guide the design and operation of bioreactors, supporting the growth and scalability of this emerging sector.
This article is based on research available at arXiv.