The production of different metabolites by Streptomyces spp. is directly influenced by oxygen transfer. On the other hand, intensive agitation and aeration may have negative effects on productivity due to high shear stress which causes damage to cells. Therefore, the aim of this study was multiobjective optimization of main scale‐up parameters using genetic algorithms. Between diverse solutions, an increase in aeration rate leads to the maximal production of biocontrol agents effective against storage apple pathogens of the Alternaria and Fusarium genera. Simultaneously, an increase in aeration rate enables the usage of a lower stirrer speed and significantly shorter bioprocess duration which supports the profitability of a defined production.

中文翻译：

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实验室规模生物反应器中吸水链霉菌培养参数的优化

链霉菌产生不同的代谢产物。直接受氧气传递的影响。另一方面，剧烈的搅拌和通气可能会由于高剪切应力而对生产率产生负面影响，从而导致细胞受损。因此，本研究的目的是使用遗传算法对主要放大参数进行多目标优化。在不同的解决方案之间，通气速率的增加导致有效对抗交替链霉菌和镰刀菌属苹果病原体贮藏的生物防治剂产量最大化。同时，通气速率的增加使得能够使用较低的搅拌器速度和明显较短的生物过程持续时间，这支持了确定的生产的获利能力。