Konopacki Maciej, Jabłońska Joanna, Dubrowska Kamila, Augustyniak Adrian, Grygorcewicz Bartłomiej, Gliźniewicz Marta, Wróblewski Emil, Kordas Marian, Dołęgowska Barbara, Rakoczy Rafał
Department of Chemical and Process Engineering, Faculty of Chemical Technology and Engineering, West Pomeranian University of Technology in Szczecin, Piastów Avenue 42, 71-065 Szczecin, Poland.
Department of Laboratory Medicine, Chair of Microbiology, Immunology and Laboratory Medicine, Pomeranian Medical University in Szczecin, Powstańców Wielkopolskich 72, 70-111 Szczecin, Poland.
Microorganisms. 2022 Dec 29;11(1):88. doi: 10.3390/microorganisms11010088.
Hydrodynamic conditions are critical in bioprocessing because they influence oxygen availability for cultured cells. Processes in typical laboratory bioreactors need optimization of these conditions using mixing and aeration control to obtain high production of the desired bioproduct. It could be done by experiments supported by computational fluid dynamics (CFD) modeling. In this work, we characterized parameters such as mixing time, power consumption and mass transfer in a 2 L bioreactor. Based on the obtained results, we chose a set of nine process parameters to test the hydrodynamic impact on a selected bioprocess (mixing in the range of 0-160 rpm and aeration in the range of 0-250 ccm). Therefore, we conducted experiments with culture and assessed how various hydrodynamic conditions influenced biomass, pyocyanin and rhamnolipid production. We found that a relatively high mass transfer of oxygen (ka = 0.0013 s) connected with intensive mixing (160 rpm) leads to the highest output of pyocyanin production. In contrast, rhamnolipid production reached maximal efficiency under moderate oxygen mass transfer (ka = 0.0005 s) and less intense mixing (in the range of 0-60 rpm). The results indicate that manipulating hydrodynamics inside the bioreactor allows control of the process and may lead to a change in the metabolites produced by bacterial cells.
流体动力学条件在生物加工过程中至关重要，因为它们会影响培养细胞的氧气供应。典型实验室生物反应器中的过程需要通过混合和曝气控制来优化这些条件，以获得所需生物产品的高产量。这可以通过计算流体动力学（CFD）建模支持的实验来完成。在这项工作中，我们对2 L生物反应器中的混合时间、功耗和传质等参数进行了表征。基于所得结果，我们选择了一组九个工艺参数来测试流体动力学对所选生物过程的影响（混合速度在0 - 160 rpm范围内，曝气在0 - 250 ccm范围内）。因此，我们进行了细胞培养实验，并评估了各种流体动力学条件如何影响生物量、绿脓菌素和鼠李糖脂的产生。我们发现，与强烈混合（160 rpm）相关的相对较高的氧气传质（ka = 0.0013 s）导致绿脓菌素产量最高。相比之下，鼠李糖脂的生产在中等氧气传质（ka = 0.0005 s）和较弱混合（在0 - 60 rpm范围内）的情况下达到最大效率。结果表明，操纵生物反应器内部的流体动力学可以控制过程，并可能导致细菌细胞产生的代谢产物发生变化。
