Multiphase gas-liquid reactors, including bioreactors, are essential unit operations in the pharmaceutical and all other processing industries. These reactors play a critical role by facilitating the interaction between gas and liquid phases, which is vital for processes such as oxygen delivery, nutrient distribution and waste product removal.
The performance of the bioreactor is of utmost importance, as it directly affects efficiency and can ultimately determine the overall success of production, yield and revenue. However, scale-up and optimization of these multiscale, multiphase reactors continue to present significant challenges within the industry due to numerous system nonlinearities. Moreover, there is no room for traditional experimental approach due to the associated costs and time requirements.
To succeed, it is essential to have a comprehensive understanding of the biochemical reactions involved, such as mixing, heat transfer and mass transfer. This understanding can be effectively achieved through computational fluid dynamics (CFD) simulation.
It allows for the examination of the interaction between biochemical processes and scale-dependent mixing parameters, facilitating the rapid and efficient development of an optimized process. CFD simulations can conduct virtual case studies, scenarios, and multidimensional virtual design of experiment (DOE) for a broad range of parameters and objectives. Consequently, the engineering teams can determine the optimal system conditions to enhance bioreactor performance.
This white paper features a case study by Procegence, specialists in modeling and simulation services for the bio/pharmaceutical and fine chemical sectors, that focuses on optimizing bioprocesses for a leading pharmaceutical company.
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