Mechanism of electricigenic respiration mediated by electron transfer mediator of Klebsiella oxytoca d7

Niu, Yuwei; Yuan, Linjiang; Meng, Yuan; Liu, Mengyu

doi:10.1016/j.electacta.2020.136571

Cited by 8 publications

(1 citation statement)

References 12 publications

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“…There are several factors that affect the performance of the MFC unit, such as the nature and population nature of microbial species, the anodic chamber configurations, the exogenous mediators, the type of substrate source and its organic concentrations or assays, the operating condition (pH, external resistance, temperature, ionic strength of catholyte, aeration dissolved oxygen dosages etc.) and the design and configuration of the MFC unit itself [12,13,[25][26][27][28][29][30][31][32]. Optimisation of the MFC operating parameters will not only curtail the operational cost but also improve its overall voltage yield and viability.…”

Section: Introductionmentioning

confidence: 99%

Validation of RSM Predicted Optimum Scaling-Up Factors for Generating Electricity in a DCMFC: MATLAB Design and Simulation Model

Shabangu,

Mthembu,

Chetty

et al. 2023

Fermentation

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In this present study, the potential application of DCMFC for the treatment of three different sourced industrial wastewater streams: biorefinery, dairy and mixed streams was investigated. Operating conditions were optimised using the Box Behnken design in response surface methodology (RSM) with three validation experimental runs. The effect of process variables, i.e., HRT (48 h), catholyte dose (0.1 gmol/L) and electrode surface area (three carbon rods argumentation-m2) on the production of electricity as voltage yield (mV), power density (mW/m2), current density (mA/m2), Columbic efficiency (%) CE and Gibbs free energy correlation with the electromotive force of the DCMFC system. Experimental results obtained were a positive response towards the predictive values according to the DoE numerical optimisation sequence. At numerical optimum MFC conditions stated above, validation experimental responses of voltage yield by biorefinery wastewater were 645.2 mV, mixed wastewater was 549 mV, and dairy wastewater was 358 mV maximum yields. The power densities and current densities were attained, for biorefinery, mixed wastewater and dairy wastewater sources respectively as; 62 mW/m2, 50 mW/m2 and 27.2 mW/m2, then current densities of 50 mA/m2, 44,008 mA/m2 and 18 mA/m2. The coulombic efficiencies of 0.34%, 0.75% and 0.22%, respectively, were achieved. The validation of predicted optimum operating conditions was successfully attained, especially through the biorefinery wastewater organic substrate. This article articulates that it is highly imperative to choose the most suitable wastewater source as the viable electron donor towards scaling up and maximising the efficiency of generating electricity in the double chamber microbial fuel cell (DCMFC). Moreover, the findings of the current study demonstrate that the DCMFC can be further upscaled through a series connection in a fed-batch mode of operation using a well-designed and simulated process control system that has been computationally designed and modelled using first order MFC model bioenergy generating models MATLAB Simulink and Simscape electrical software. These findings of the simulations were successful and illustrated that an MFC power output can be successfully stepped to be a viable bio-electrochemical technology for both industrial wastewater (IWW) treatment and simultaneous sustainable power generation.

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