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DIRECT METABOLIC ACTIVITY MEASUREMENT FOR UNSTABLE BIOPROCESS EXPERIMENT CONTROL

机译:用于不稳定生物过程实验控制的直接代谢活性测量

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Paper deals with an algorithm which allows the automatic selection of the best operating point of biological system. This task is one of the subjects of research in the field of metabolic engineering, which deals with control related issues, in particular, with modelling of biological phenomena, as well as, monitoring of the unstable states of biomass growth. The possibility of using specific biosensors and microfluidic system for monitoring, optimizing and controlling of a bioreactor is presented in this paper. To ensure proper experiment control of the bioreactor, a real-time measurement of parameters at the macroscale level and metabolic activity of microorganism cells at the microscale level are relevant. Therefore, much attention has been paid to the description and modelling of cyclical changes in metabolic states. For the determination of key process parameters, a micro-calorimeter for measuring the heat of reaction has been applied. The biosensor provides additional information, which is useful in development of an interface for monitoring the bioreactor by a decomposition of measurements including the scale of process. Finally, the paper discusses the problem of model selection describing the bioprocess at the microscale level.
机译:本文讨论了一种算法,该算法可以自动选择生物系统的最佳工作点。这项任务是代谢工程领域的研究主题之一,它涉及与控制有关的问题,特别是生物学现象的建模以及生物量生长的不稳定状态的监视。本文提出了使用特定的生物传感器和微流体系统来监测,优化和控制生物反应器的可能性。为了确保对生物反应器进行适当的实验控制,必须在宏观水平上实时测量参数,在微观水平上实时测量微生物细胞的代谢活性。因此,已经非常关注代谢状态的周期性变化的描述和建模。为了确定关键的工艺参数,已经使用了一种用于测量反应热的微量量热仪。生物传感器提供了附加信息,该信息可用于通过分解包括过程规模在内的测量值来监控生物反应器的界面。最后,本文讨论了在微观水平上描述生物过程的模型选择问题。

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