Bioprocess systems engineering: transferring traditional process engineering principles to industrial biotechnology.
Bioprocess systems engineering: transferring traditional process engineering principles to industrial biotechnology.
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DOI：
10.5936/csbj.201210022
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发表时间：
2012
影响因子：
6
通讯作者：
Mantalaris A
中科院分区：
文献类型：
--
作者：
Koutinas M;Kiparissides A;Pistikopoulos EN;Mantalaris A
调控网络的复杂性和微生物细胞内环境中发生的相互作用突出了开发易于处理的细胞功能机制模型和模拟生物系统的系统方法的重要性。为此，现有的过程系统工程方法可以作为理解，整合和设计生物系统和过程的工具。在这里，我们审查的应用程序的一个整体的方法发展的数学模型的生物系统，从最初的概念的模型，其最终应用在基于模型的控制和优化。我们还讨论了使用机械模型，占基因调控，试图推进传统上用于描述微生物生长动力学的经验表达式，我们强调当前和未来的挑战，在数学生物学。本文讨论的建模研究框架可以证明有益的最佳生物过程的设计，采用合理和可行的方法对化学品和药品的有效生产。
The complexity of the regulatory network and the interactions that occur in the intracellular environment of microorganisms highlight the importance in developing tractable mechanistic models of cellular functions and systematic approaches for modelling biological systems. To this end, the existing process systems engineering approaches can serve as a vehicle for understanding, integrating and designing biological systems and processes. Here, we review the application of a holistic approach for the development of mathematical models of biological systems, from the initial conception of the model to its final application in model-based control and optimisation. We also discuss the use of mechanistic models that account for gene regulation, in an attempt to advance the empirical expressions traditionally used to describe micro-organism growth kinetics, and we highlight current and future challenges in mathematical biology. The modelling research framework discussed herein could prove beneficial for the design of optimal bioprocesses, employing rational and feasible approaches towards the efficient production of chemicals and pharmaceuticals.