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Modeling and Parameter Identification Involving 3-Hydroxypropionaldehyde Inhibitory Effects in Glycerol Continuous Fermentation

机译:涉及3-羟基丙醛在甘油连续发酵中的抑制作用的建模与参数辨识

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摘要

Mathematical modeling and parameter estimation are critical steps in the optimization of biotechnological processes. In the 1,3-propanediol (1,3-P'D) production by glycerol fermentation process under anaerobic conditions, 3-hydroxypropionaldehyde (3-HPA) accumulation would arouse an irreversible cessation of the fermentation process. Considering 3-HPA inhibitions to cells growth and to activities of enzymes, we propose a novel mathematical model to describe glycerol continuous cultures. Some properties of the above model are discussed. On the basis of the concentrations of extracellular substances, a parameter identification model is established to determine the kinetic parameters in the presented system. Through the penalty function technique combined with an extension of the state space method, an improved genetic algorithm is then constructed to solve the parameter identification model. An illustrative numerical example shows the appropriateness of the proposed model and the validity of optimization algorithm. Since it is difficult to measure the concentrations of intracellular substances, a quantitative robustness analysis method is given to infer whether the model is plausible for the intracellular substances. Numerical results show that the proposed model is of good robustness.
机译:数学建模和参数估计是生物技术过程优化中的关键步骤。在厌氧条件下通过甘油发酵过程生产的1,3-丙二醇(1,3-P'D)中,3-羟基丙醛(3-HPA)的积累将引起发酵过程的不可逆转的停止。考虑到3-HPA对细胞生长和酶活性的抑制作用,我们提出了描述甘油连续培养的新型数学模型。讨论了上述模型的一些属性。基于细胞外物质的浓度,建立参数识别模型以确定所提出系统中的动力学参数。通过惩罚函数技术结合状态空间方法的扩展,构造了一种改进的遗传算法来求解参数辨识模型。数值例子说明了所提模型的适用性和优化算法的有效性。由于难以测量细胞内物质的浓度,因此给出了定量鲁棒性分析方法来推断该模型对于细胞内物质是否合理。数值结果表明,该模型具有良好的鲁棒性。

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  • 来源
    《Mathematical Problems in Engineering》 |2012年第10期|690587.1-690587.18|共18页
  • 作者单位

    School of Mathematics and Information Science, Shandong Institute of Business and Technology, Yantai 264005, China;

    School of Mathematics and Information Science, Shandong Institute of Business and Technology, Yantai 264005, China;

    School of Mathematics and Information Science, Shandong Institute of Business and Technology, Yantai 264005, China;

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