Mast Yannic, Ghaderi Adel, Takors Ralf
Institute of Biochemical Engineering, University of Stuttgart, Stuttgart, Germany.
Manus Bio, Augusta, Georgia, USA.
Biotechnol Bioeng. 2025 Feb;122(2):265-286. doi: 10.1002/bit.28869. Epub 2024 Oct 25.
Large-scale fermentations (»100 m³) often encounter concentration gradients which may significantly affect microbial activities and production performance. Reliably investigating such scenarios in silico would allow to optimize bioproduction. But related simulations are very rare in particular for large bubble columns. Here, we pioneer the spatially resolved investigation of a 600 m³ bubble column operating for Escherichia coli based l-phenylalanine fed-batch production. Microbial kinetics are derived from experimental data. Advanced Euler-Lagrange (EL) computational fluid dynamics (CFD) simulations are applied to track individual bubble dynamics that result from a recently developed bubble breakage model. Thereon, the complex nonlinear characteristics of hydrodynamics, mass transfer, and microbial activities are simulated for large scale and compared with real data. As a key characteristic, zones for upriser, downcomer, and circulation cells were identified that dominate mixing and mass transfer. This results in complex gradients of glucose, dissolved oxygen, and microbial rates dividing the bioreactor into sections. Consequently, alternate feed designs are evaluated splitting real feed rates in two feeds at different locations. The opposite reversed installation of feed spots and spargers improved the product synthesis by 6.24% while alternate scenarios increased the growth rate by 11.05%. The results demonstrate how sophisticated, spatially resolved simulations of hydrodynamics, mass transfer, and microbial kinetics help to optimize bioreactors in silico.
大规模发酵(>100立方米)常常会遇到浓度梯度问题,这可能会显著影响微生物活性和生产性能。在计算机上可靠地研究此类情况将有助于优化生物生产。但相关模拟非常罕见,尤其是对于大型鼓泡塔而言。在此,我们率先对一个600立方米的鼓泡塔进行空间分辨研究,该鼓泡塔用于基于大肠杆菌的L-苯丙氨酸补料分批生产。微生物动力学源自实验数据。应用先进的欧拉-拉格朗日(EL)计算流体动力学(CFD)模拟来追踪由最近开发的气泡破碎模型产生的单个气泡动力学。在此基础上,对大规模流体动力学、传质和微生物活性的复杂非线性特征进行模拟,并与实际数据进行比较。作为一个关键特征,确定了上升管、下降管和循环单元的区域,这些区域主导着混合和传质。这导致葡萄糖、溶解氧和微生物速率的复杂梯度将生物反应器划分为不同区域。因此,评估了交替进料设计,即将实际进料速率在不同位置分成两股进料。进料点和气体分布器的相反反向安装使产物合成提高了6.24%,而交替方案使生长速率提高了11.05%。结果表明,流体动力学、传质和微生物动力学的复杂、空间分辨模拟如何有助于在计算机上优化生物反应器。