2018
DOI: 10.1016/j.jpowsour.2018.09.074
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Constructed mathematical model for nanowire electron transfer in microbial fuel cells

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Cited by 18 publications
(8 citation statements)
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“…A maximum cell voltage at 200 mA cm −2 was obtained at the KOH concentration of 40 wt%, but further increase in the electrolyte concentration reduced the cell voltage. The relationship between the electrolyte concentration and power output can be better explained by the Nernst equation which indicates the affiliation between the reversible potential (E 0 ) of electrochemical reaction, temperature, derive current density and standard potentials [17,18].…”
Section: Concentration Of Electrolyte 176mentioning
confidence: 99%
“…A maximum cell voltage at 200 mA cm −2 was obtained at the KOH concentration of 40 wt%, but further increase in the electrolyte concentration reduced the cell voltage. The relationship between the electrolyte concentration and power output can be better explained by the Nernst equation which indicates the affiliation between the reversible potential (E 0 ) of electrochemical reaction, temperature, derive current density and standard potentials [17,18].…”
Section: Concentration Of Electrolyte 176mentioning
confidence: 99%
“…Such approaches are not very popular, obviously, due to their complexity, relatively low information provided, and limited area of application. Interestingly, the mathematical models of the second type dealing with the processes occurring within MFC have been widely used earlier [32], and are actively applied in recent works [33]. The mathematical models of MFC include blocks describing growth of microorganism population, reaction kinetics in the system, transport of the components of MFC processes, and power generation.…”
Section: Introductionmentioning
confidence: 99%
“…Both strongly affect bacterial metabolism and electron transfer (Cournet et al., 2010), but the latter has not been studied in detail for bacteria at high temperatures and low pH conditions. Elucidation of the mechanisms involved in EET has been the subject of widespread attention, as it is essential in the understanding of natural processes such as biogeochemical cycling as well as in the development and optimization of many applications, ranging from biofuel production to bioelectrochemical systems (Chen et al., 2012, Collier and Mrksich, 2006, Lan et al., 2018, Marsili et al., 2008, Nielsen et al., 2010, Pfeffer et al., 2012, Wang et al., 2018, Wu et al., 2018). Hence, it is imperative to understand how microorganisms manage to retain electron transfer capabilities between intracellular and extracellular environments under extreme conditions.…”
Section: Introductionmentioning
confidence: 99%