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Cellular non-linear network model of microbial fuel cell

Phillips, Neil; Sirakoulis, Georgios Ch; Tsompanas, Michail Antisthenis; Adamatzky, Andrew; Ieropoulos, Ioannis; Greenman, John


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Dr Neil Phillips
Research Associate in CWCR (ENDOWS Drought)

Georgios Ch Sirakoulis


© 2017 Elsevier B.V. A cellular non-linear network (CNN) is a uniform regular array of locally connected continuous-state machines, or nodes, which update their states simultaneously in discrete time. A microbial fuel cell (MFC) is an electro-chemical reactor using the metabolism of bacteria to drive an electrical current. In a CNN model of the MFC, each node takes a vector of states which represent geometrical characteristics of the cell, like the electrodes or impermeable borders, and quantify measurable properties like bacterial population, charges produced and hydrogen ion concentrations. The model allows the study of integral reaction of the MFC, including temporal outputs, to spatial disturbances of the bacterial population and supply of nutrients. The model can also be used to evaluate inhomogeneous configurations of bacterial populations attached on the electrode biofilms.

Journal Article Type Article
Publication Date Jun 1, 2017
Journal BioSystems
Print ISSN 0303-2647
Electronic ISSN 1872-8324
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 156-157
Pages 53-62
APA6 Citation Sirakoulis, G. C., Phillips, N., Tsompanas, M. A., Adamatzky, A., Ieropoulos, I., Phillips, G. N., …Greenman, J. (2017). Cellular non-linear network model of microbial fuel cell. BioSystems, 156-157, 53-62.
Keywords microbial fuel cells, cellular non-linear network, spatial models
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