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Growth on two limiting essential resources in a self-cycling fermentor

1 Department of Mathematics and Statistics, McMaster University, 1280 Main Street West, Hamilton, Ontario, L8S 4K1, Canada
2 Department of Mathematics and Statistics, University of New Brunswick, Tilley Hall, 9 MacAulay Lane, PO Box 4400, Fredericton, New Brunswick, E3B 5A3, Canada

A system of impulsive differential equations with state-dependent impulses is used to model the growth of a single population on two limiting essential resources in a self-cycling fermentor. Potential applications include water purification and biological waste remediation. The self-cycling fermentation process is a semi-batch process and the model is an example of a hybrid system. In this case, a well-stirred tank is partially drained, and subsequently refilled using fresh medium when the concentration of both resources (assumed to be pollutants) falls below some acceptable threshold. We consider the process successful if the threshold for emptying/refilling the reactor can be reached indefinitely without the time between successive emptying/refillings becoming unbounded and without interference by the operator. We prove that whenever the process is successful, the model predicts that the concentrations of the population and the resources converge to a positive periodic solution. We derive conditions for the successful operation of the process that are shown to be initial condition dependent and prove that if these conditions are not satisfied, then the reactor fails. We show numerically that there is an optimal fraction of the medium drained from the tank at each impulse that maximizes the output of the process.
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Keywords self-cycling fermentation; impulsive differential equations; hybrid system; complementary resources; state dependent impulses; nutrient driven process; emptying/refilling fraction; global attractivity; water purification; wastewater treatment; optimal yield

Citation: Ting-Hao Hsu, Tyler Meadows, LinWang, Gail S. K. Wolkowicz. Growth on two limiting essential resources in a self-cycling fermentor. Mathematical Biosciences and Engineering, 2019, 16(1): 78-100. doi: 10.3934/mbe.2019004

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Copyright Info: 2019, Gail S. K. Wolkowicz, et al., licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution Licese (http://creativecommons.org/licenses/by/4.0)

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