Guardia Alba M J, García Calvo E
Department of Chemical Engineering, University of Alcala, 28871, Alcala de Henares, Spain.
J Biotechnol. 2001 Nov 30;84(2):107-18. doi: 10.1016/s0168-1656(00)00343-6.
The simulation of a microbial transformation course is an important tool for the optimal design or characterization of industrial processes. Usually, models are developed to describe a specific part of the culture such as microbial growth and most of the time ignore the influence of physical and chemical environment on growth dynamics of the microorganism. In this work we propose a method which combines the description of the evolution of components involved in the bioprocess including biomass and the physical environment generated mainly by the bioreactor characteristics and operational conditions. Stoichiometric, kinetic, fluid dynamics and mass transfer models are linked to predict the course of the Escherichia coli culture under the influence of different experimental conditions and types of bioreactors. A set of 22 kinetic and physical parameters obtained from independent experiments and from literature are used in order to predict glucose, biomass, acetate, dissolved oxygen and CO(2) concentrations in airlift and stirred tank bioreactors.
微生物转化过程的模拟是工业过程优化设计或特性描述的重要工具。通常，模型的建立是为了描述培养过程的特定部分，如微生物生长，并且大多数时候忽略了物理和化学环境对微生物生长动力学的影响。在这项工作中，我们提出了一种方法，该方法结合了对生物过程中涉及的成分（包括生物质）的演变描述以及主要由生物反应器特性和操作条件产生的物理环境。化学计量学、动力学、流体动力学和传质模型相互关联，以预测在不同实验条件和生物反应器类型影响下大肠杆菌培养的过程。为了预测气升式和搅拌罐式生物反应器中葡萄糖、生物质、乙酸盐、溶解氧和二氧化碳的浓度，使用了从独立实验和文献中获得的一组22个动力学和物理参数。
