Xia Jianye, Wang Guan, Lin Jihan, Wang Yonghong, Chu Ju, Zhuang Yingping, Zhang Siliang
State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, 130 Meilong Road, Shanghai, 200237, China.
Adv Biochem Eng Biotechnol. 2016;152:137-51. doi: 10.1007/10_2014_293.
: This chapter addresses the update progress in bioprocess engineering. In addition to an overview of the theory of multi-scale analysis for fermentation process, examples of scale-up practice combining microbial physiological parameters with bioreactor fluid dynamics are also described. Furthermore, the methodology for process optimization and bioreactor scale-up by integrating fluid dynamics with biokinetics is highlighted. In addition to a short review of the heterogeneous environment in large-scale bioreactor and its effect, a scale-down strategy for investigating this issue is addressed. Mathematical models and simulation methodology for integrating flow field in the reactor and microbial kinetics response are described. Finally, a comprehensive discussion on the advantages and challenges of the model-driven scale-up method is given at the end of this chapter.
本章阐述了生物过程工程的最新进展。除了对发酵过程多尺度分析理论进行概述外,还介绍了将微生物生理参数与生物反应器流体动力学相结合的放大实践实例。此外,还重点介绍了通过将流体动力学与生物动力学相结合进行过程优化和生物反应器放大的方法。除了对大规模生物反应器中的非均相环境及其影响进行简要回顾外,还探讨了研究此问题的缩小规模策略。描述了用于整合反应器内流场和微生物动力学响应的数学模型和模拟方法。最后,本章末尾对模型驱动放大方法的优点和挑战进行了全面讨论。