Cellular non-linear network model of microbial fuel cell. (June 2017)

• Record Type: Journal Article
• Authors: Tsompanas, Michail-Antisthenis; Adamatzky, Andrew; Ieropoulos, Ioannis; Phillips, Neil; Sirakoulis, Georgios Ch.; Greenman, John
• Is Part Of: Bio systems. Volume 156/157(2017)
• Page Start: 53
• Page End: 62
• Publication Date: 2017-06
• Subjects: Microbial fuel cells -- Cellular non-linear network -- Spatial models; Biological systems -- Periodicals; Biology -- Periodicals; Biology -- Periodicals; Evolution -- Periodicals; Biologie -- Périodiques; Évolution -- Périodiques; 570
• DOI: 10.1016/j.biosystems.2017.04.003
• Languages: English
• ISSNs: 0303-2647

Abstract

Abstract: 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.