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在分批补料培养过程中毛状根生长的建模与优化。

Modeling and optimization of hairy root growth in fed-batch process.

机构信息

Transformations Intégrées de Matière Renouvelable, Université de Technologie de Compiègne, BP 649, Compiègne 60206, France.

出版信息

Biotechnol Prog. 2010 May-Jun;26(3):847-56. doi: 10.1002/btpr.388.

DOI:10.1002/btpr.388
PMID:20187141
Abstract

This article proposes a feeding strategy based on a kinetic model to enhance hairy roots growth. A new approach for modeling hairy root growth is used, considering that there is no nutrient limitation thanks to an appropriate feeding, and the intracellular pools are supposed to be always saturated. Thus, the model describes the specific growth rate from extracellular concentration of the major nutrients and nutrient uptakes depend on biomass growth. An optimized feeding strategy was determined thanks to the model to maintain the major nutrient levels at their optimum assuming optimal initial concentrations. The optimal feed rate is computed in open loop using kinetic model prediction or in closed loop using conductivity measurements to estimate biomass growth. Datura innoxia was chosen as the model culture system. Shake flask cultures were used to calibrate the model. Finally, cultures in bioreactor were performed to validate the model and the control laws.

摘要

本文提出了一种基于动力学模型的喂养策略,以促进毛状根的生长。采用了一种新的毛状根生长建模方法,认为由于适当的喂养,不存在营养限制,并且细胞内池始终处于饱和状态。因此,该模型根据主要营养物质的细胞外浓度描述了比生长速率,并且营养吸收取决于生物量的生长。通过模型确定了优化的喂养策略,以在假设最佳初始浓度的情况下将主要营养物水平维持在最佳水平。使用动力学模型预测在开环中计算最佳进料速率,或者使用电导率测量来估计生物量生长在闭环中计算最佳进料速率。曼陀罗被选为模型培养系统。摇瓶培养用于对模型进行校准。最后,在生物反应器中进行培养以验证模型和控制律。

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