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首页> 外文期刊>IFAC PapersOnLine >Modelling the production of soluble hydrogenase in Ralstonia eutropha by on-line optimal experimental design * * This work was supported by the DFG in the framework of the cluster of excellence UniCat.
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Modelling the production of soluble hydrogenase in Ralstonia eutropha by on-line optimal experimental design * * This work was supported by the DFG in the framework of the cluster of excellence UniCat.

机译:通过在线最佳实验设计,对 Ralstonia eutropha 中可溶性氢酶的产生进行建模。 * * 这项工作得到了DFG在卓越UniCat集群框架中的支持。

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摘要

This paper presents a case study on integrating a new model extension describing the production of the enzyme soluble hydrogenase (SH) into an already existing model by means of on-line optimal experimental design (OED). These investigations were done on the autotrophic cultivation system and process model of Ralstonia eutropha , i.e., a cultivation where aeration by air is replaced by a gas consisting of H 2 /O 2 /CO 2 . Prior to the experiment, three different structures of the new model extension are postulated and coarsely identified. Off-line OED with the best model yields initial feeding trajectories. During the experiment, a repetitive model refinement is performed. This consists of identifying the parameters of the new model extension for all three models, selecting the best model and recalculating optimal feeding trajectories. It is shown that on-line OED in the early modelling stage followed by a manual modelling step results in an acceptable quality of the description of SH production.
机译:本文提供了一个案例研究,该案例通过在线最佳实验设计(OED)将描述酶可溶性氢化酶(SH)产生的新模型扩展整合到一个已经存在的模型中。这些研究是在富营养小球藻(Ralstonia eutropha)的自养培养系统和过程模型上进行的,即以空气充气代替由H 2 / O 2 / CO 2组成的气体的培养。在实验之前,假定并粗略地确定了新模型扩展的三个不同结构。具有最佳模型的离线OED可产生初始进料轨迹。在实验过程中,进行了重复的模型优化。这包括为所有三个模型确定新模型扩展的参数,选择最佳模型并重新计算最佳进给轨迹。结果表明,在早期建模阶段进行在线OED,然后进行手动建模步骤,可以得出可接受的SH生产描述质量。

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