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Model-based adaptive control of acetate concentration during the production of recombinant proteins with E. coli

机译:基于模型的大肠杆菌重组蛋白生产过程中乙酸盐浓度的自适应控制

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摘要

A model-based adaptive linearizing control law was derived for the regulationof the acetate concentration during the fed-batch fermentation of recombinant proteinswith high cell density culture of Escherichia coli growing on glucose.An unstructured model for the growth was applied to the major metabolic pathways:oxidative growth on glucose, fermentative growth on glucose, oxidative growth onacetate, and maintenance. A model order reduction method was used to allow thedevelopment of the control algorithm without the knowledge of the kinetic structure beingnecessary. The non-linear model was subjected to transformations in order to obtain alinear behaviour for the control loop when a non-linear control is applied.The control law requires on-line acetate and carbon dioxide and oxygen transfer ratesmeasurements. Acetate measurements are achieved with a developed Flow InjectionAnalysis (FIA) physical-chemical method. The gas transfer rates are calculated from gasanalysis data obtained with a Mass Spectrometer (MS) connected to the exhaust gas lineof the fermenter and also to the inlet aeration line. These calculations, as well as theimplementation of the control law were performed through a MATLAB script embeddedin a LABView program that also acquired data from the FIA system and other relevantstate variables from the fermenter Digital Control Unit.Copyright 2002 IFAC
机译:推导了基于模型的自适应线性化控制律,用于在葡萄糖生长的大肠杆菌高细胞密度培养的重组蛋白的分批补料发酵过程中调节乙酸盐的浓度。将非结构化生长模型应用于主要代谢途径:葡萄糖的氧化生长,葡萄糖的发酵生长,乙酸盐的氧化生长和维持。使用模型降阶方法可以开发控制算法,而无需了解动力学结构。非线性模型经过了变换,以便在应用非线性控制时获得控制回路的非线性行为。控制律要求在线测量乙酸盐,二氧化碳和氧气的传输速率。醋酸盐的测量是通过开发的流动注射分析(FIA)物理化学方法来完成的。气体传输速率是根据使用质谱仪(MS)获得的气体分析数据计算得出的,该质谱仪连接到发酵罐的排气管线以及进气曝气管线。这些计算以及控制律的实现是通过嵌入LABView程序的MATLAB脚本执行的,该脚本还从FIA系统获取数据,并从发酵罐数字控制单元获取其他相关状态变量。版权所有IFAC 2002

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    Rocha I.; Ferreira E. C.;

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  • 年度 2003
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  • 正文语种 eng
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