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标题：Estimation of the Maximum Theoretical Productivity of Fed-Batch Bioreactors * * This work was funded by the US Department of Energy’s Bioen-ergy Technologies Office (DOE-BETO), Contract No. DE-AC36-08GO28308 with the National Renewable Energy Laboratory
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作者：Peter C. St. John ; Michael F. Crowley ; Yannick J. Bomble 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2017
卷号：50
期号：1
页码：9883-9888
DOI：10.1016/j.ifacol.2017.08.1605
语种：English
出版社：Elsevier
摘要：AbstractA key step towards the development of an integrated biorefinery is the screening of economically viable processes, which depends sharply on the yields and productivities that can be achieved by an engineered microorganism. In this study, we extend an earlier method which used dynamic optimization to find the maximum theoretical productivity of batch cultures to explicitly include fed-batch bioreactors. In addition to optimizing the intracellular distribution of metabolites between cell growth and product formation, we calculate the optimal control trajectory of feed rate versus time. We further analyze how sensitive the productivity is to substrate uptake and growth parameters.
关键词：KeywordsFermentation processesOpen-loop control systemsOptimal controlnonlinear programming