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Development and implementation of a non- parametric/metabolic model in the process optimisation of PHA production by mixed microbial cultures

机译:混合微生物培养方法优化PHA生产过程中非参数/代谢模型的开发与实现

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In this work we study the optimization of a polyhydroxyalkanoates (PHA) production process by mixed cultures based on a detailed hybrid metabolic model. The metabolic network under consideration was first decomposed into its fundamental pathways using the elementary flux modes (EFM) technique. Then, a dynamical hybrid semi-parametric model was formulated, which allowed to identify the EFM kinetics from experimental data of 7 batch runs. The EFM fluxes were interpreted in terms of metabolic consistency. The final model allowed to characterize the metabolism dynamics, namely of how the relative weight of pathways evolves in time in a typical batch or fed-batch run. The present technique is a step forward for the integration of systems biology and bioprocess control.
机译:在这项工作中,我们研究了基于详细的杂交代谢模型的混合培养物优化多羟基烷烃(PHA)生产过程。所考虑的代谢网络首先使用基本磁通模式(EFM)技术分解成其基本途径。然后,配制了一种动态混合半导体模型,其允许从7批次运行的实验数据中识别EFM动力学。在代谢一致性方面解释了EFM助熔剂。最终模型允许表征新陈代谢动态,即如何在典型的批量或喂食批量运行中及时发展途径的相对重量。本技术是对整合系统生物学和生物过程控制的前进。

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