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MIXING CONSIDERATIONS AT THE PILOT PLANT STAGE IN BIOREACTORS

机译:在生物反应器中的试验植物阶段混合考虑因素

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This paper considers some of the recent work at Birmingham on biological aspects of mixing and scale-up in pilot scale bioreactors, in particular the impact of inhomogeneties and of stress on biological performance. The work takes advantage of new experimental techniques such as flow cytometry and image analysis. The bioprocesses covered are mycelial (including GMO's), yeast and bacterial fermentations, in batch, fed-batch and chemostat conditions. By using gas blending to control dissolved oxygen concentration (dO2), the impact of mechanical stresses due to agitation and aeration can be decoupled from dO2 effects. Image analysis of all the biomass shows that mycelia are generally damaged by agitation but that productivity may or may not be affected. Also, on scale-up, such damage is reduced. With yeast and bacteria, flow cytometry shows damage does not occur. On the other hand, by simulating the poorer mixing found on the plant scale that leads to locally high nutrient, low dO2 and high pH values, a change of performance compared to the well- mixed bench-scale is found. Especially interesting is the successful simulation of the lower biomass yield but higher cell viability found on the large scale in fed-batch fermentations.
机译:本文考虑了伯明翰最近的一些在试验规模生物反应器中混合和扩大的生物方面的生物方面,特别是inhomofaling的影响和对生物学性能的压力。该工作利用了新的实验技术,例如流式细胞术和图像分析。覆盖的生物过程是菌丝体(包括GMO),酵母和细菌发酵,分批,喂食批量和化疗条件。通过使用气体混合以控制溶解氧浓度(DO2),由于搅拌和通气引起的机械应力的影响可以从DO2效应上解耦。所有生物质的图像分析表明,菌丝体通常受到搅拌损坏,但生产力可能或可能不会受到影响。此外,在缩放方面,减少了这种损坏。对于酵母和细菌,流式细胞术显示不会发生损伤。另一方面,通过模拟在植物量表上发现的较差的混合,导致局部高营养,低DO2和高pH值,发现与良好混合的替补秤相比的性能变化。特别是有趣的是成功模拟较低的生物量产量,但在喂食批量发酵中的大规模中发现的细胞活力更高。

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