Gill N K, Appleton M, Baganz F, Lye G J
Department of Biochemical Engineering, The Advanced Centre for Biochemical Engineering, University College London, Torrington Place, London WC1E 7JE, UK.
Biotechnol Bioeng. 2008 Aug 15;100(6):1144-55. doi: 10.1002/bit.21852.
Miniature parallel bioreactors are becoming increasingly important as tools to facilitate rapid bioprocess design. Once the most promising strain and culture conditions have been identified a suitable scale-up basis needs to be established in order that the cell growth rates and product yields achieved in small scale optimization studies are maintained at larger scales. Recently we have reported on the design of a miniature stirred bioreactor system capable of parallel operation [Gill et al. (2008); Biochem Eng J 39:164-176]. In order to enable the predictive scale-up of miniature bioreactor results the current study describes a more detailed investigation of the bioreactor mixing and oxygen mass transfer characteristics and the creation of predictive engineering correlations useful for scale-up studies. A Power number of 3.5 for the miniature turbine impeller was first established based on experimental ungassed power consumption measurements. The variation of the measured gassed to ungassed power ratio, P(g)/P(ug), was then shown to be adequately predicted by existing correlations proposed by Cui et al. [Cui et al. (1996); Chem Eng Sci 51:2631-2636] and Mockel et al. [Mockel et al. (1990); Acta Biotechnol 10:215-224]. A correlation relating the measured oxygen mass transfer coefficient, k(L)a, to the gassed power per unit volume and superficial gas velocity was also established for the miniature bioreactor. Based on these correlations a series of scale-up studies at matched k(L)a (0.06-0.11 s(-1)) and P(g)/V (657-2,960 W m(-3)) were performed for the batch growth of Escherichia coli TOP10 pQR239 using glycerol as a carbon source. Constant k(L)a was shown to be the most reliable basis for predictive scale-up of miniature bioreactor results to conventional laboratory scale. This gave good agreement in both cell growth and oxygen utilization kinetics over the range of k(L)a values investigated. The work described here thus gives further insight into the performance of the miniature bioreactor design and will aid its use as a tool for rapid fermentation process development.
微型平行生物反应器作为促进快速生物工艺设计的工具正变得越来越重要。一旦确定了最有前景的菌株和培养条件,就需要建立合适的放大基础,以便在小规模优化研究中实现的细胞生长速率和产物产量能在更大规模上得以维持。最近我们报道了一种能够并行操作的微型搅拌生物反应器系统的设计[吉尔等人(2008年);《生物化学工程杂志》39卷:164 - 176页]。为了实现微型生物反应器结果的预测放大,当前研究描述了对生物反应器混合和氧传质特性的更详细研究,以及创建对放大研究有用的预测工程关联式。基于未通气时的功耗实验测量,首先确定了微型涡轮搅拌器的功率数为3.5。然后表明,所测量的通气功率与未通气功率之比P(g)/P(ug)的变化可以由崔等人[崔等人(1996年);《化学工程科学》51卷:2631 - 2636页]和莫克尔等人[莫克尔等人(1990年);《生物技术学报》10卷:215 - 224页]提出的现有关联式充分预测。还为微型生物反应器建立了一个将所测量的氧传质系数k(L)a与单位体积通气功率和表观气速相关联的关联式。基于这些关联式,以甘油作为碳源,对大肠杆菌TOP10 pQR239的分批培养进行了一系列在匹配的k(L)a(0.06 - 0.11 s(-1))和P(g)/V(657 - 2960 W m(-3))下的放大研究。恒定的k(L)a被证明是将微型生物反应器结果预测放大到传统实验室规模的最可靠基础。在所研究的k(L)a值范围内,这在细胞生长和氧利用动力学方面都给出了良好的一致性。因此,这里描述的工作进一步深入了解了微型生物反应器设计的性能,并将有助于其作为快速发酵工艺开发工具的应用。