Recent progress in microbial fuel cells using substrates from diverse sources

Sonawane, Jayesh M.; Mahadevan, Radhakrishnan; Pandey, Ashok; Greener, Jesse

doi:10.1016/j.heliyon.2022.e12353

Cited by 48 publications

(16 citation statements)

References 280 publications

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“…Therefore, the observations here are more applicable to a non‐acetate‐limiting condition. However, in real applications of EABs, often dominated by G. sulfurreducens , these readily utilizable small organic molecules are often limited (Sonawane et al, 2022). With limited substrate, the performance of EAB under periodic step polarization needs to be investigated because there might be a trade‐off between a decreased level of electron carriers with a thinning biofilm and an increased EET capability due to the enrichment of G. sulfurreducens (T. Li et al, 2020).…”

Section: Resultsmentioning

confidence: 99%

Periodic step polarization accelerates electron recovery by electroactive biofilms (EABs)

Gao

Xia

Yao

et al. 2023

Biotech & Bioengineering

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Relatively low rate of electron recovery is one of the factors that limit the advancement of bioelectrochemical systems. Here, new periodic polarizations were investigated with electroactive biofilms (EABs) enriched from activated sludge and Geobacter sulfurreducens biofilms. When representative anode potentials (E a ) were applied, redox centers with midpoint potentials (E mid ) higher than E a were identified by localized cyclic voltammetry. The electrons held by these redox centers were accessible when E a was raised to 0.4 V (vs. Ag/AgCl). New periodic polarizations that discharge at 0.4 V recovered electrons faster than normal periodic and fixedpotential polarizations. The best-performing periodic step polarization accelerated electron recovery by 23%−24% and 12%−76% with EABs and G. sulfurreducens biofilms, respectively, compared to the fixed-potential polarization. Quantitative reverse transcription polymerase chain reaction showed an increased abundance of omcZ mRNA transcripts from G. sulfurreducens after periodic step polarization.Therefore, both the rate of energy recovery by EABs and the performance of bioelectrochemical systems can be enhanced by improving the polarization schemes.

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Section: Resultsmentioning

confidence: 99%

Periodic step polarization accelerates electron recovery by electroactive biofilms (EABs)

Gao

Xia

Yao

et al. 2023

Biotech & Bioengineering

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“…The MFC, which generates bio-electricity from various organic fuel sources, is one such promising invention. In order to create power through waste treatment, MFCs use electroactive bacteria to extract chemical energy from used organic molecules [ 43 ].…”

Section: Discussionmentioning

confidence: 99%

Isolation and Characterization of Bacteria with High Electroactive Potential from Poultry Wastewater

Temirbekova

Tekebayeva²,

Temirkhanov³

et al. 2023

Biology

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Natural resources are in short supply, and the ecosystem is being damaged as a result of the overuse of fossil fuels. The creation of novel technology is greatly desired for investigating renewable and sustainable energy sources. Microorganisms have received a lot of interest recently for their potential to transform organic waste into sustainable energy and high-value goods. New exoelectrogens that can transmit electrons to electrodes and remove specific wastewater contaminants are expected to be studied. In this study, we examined three distinct samples (as determined by chemical oxygen demand and pH) that can be used as anolytes to generate power in single-chamber and double-chamber microbial fuel cells using graphite electrodes. Wastewater from poultry farms was studied as an exoelectrogenic anolyte for microbial fuel cell power generation. The study examined 10 different bacterial strains, numbered A1 through A10. Due to their highly anticipated capacity to metabolize organic/inorganic chemicals, the diverse range of microorganisms found in poultry wastewater inspired us to investigate the viability of generating electricity using microbial fuel cells. From the investigated bacterial strains, the highest voltage outputs were produced by strains A1 (Lysinibacillus sphaericus) and A2 (Bacillus cereus), respectively, at 402 mV and 350 mV. Among the 10 different bacterial strains, strain A6 generated the least amount of electricity, measuring 35.03 mV. Furthermore, a maximum power density of 16.16 1.02 mW/m2 was achieved by the microbial fuel cell using strain A1, significantly outperforming the microbial fuel cell using a sterile medium. The strain A2 showed significant current and power densities of 35 1.12 mA/m2 and 12.25 1.05 mW/m2, respectively. Moreover, in the two representative strains, chemical oxygen demand removal and Coulombic efficiency were noted. Samples from the effluent anode chamber were taken in order to gauge the effectiveness of chemical oxygen demand removal. Wastewater had an initial chemical oxygen demand content of 350 mg/L on average. Strains A1 and A2 decomposed 94.28% and 91.71%, respectively, of the organic substrate, according to the chemical oxygen demand removal efficiency values after 72 h. Strains A1 and A2 had electron donor oxidation efficiencies for 72 h of 54.1% and 60.67%, respectively. The Coulombic efficiency increased as the chemical oxygen demand decreased, indicating greater microbial electroactivity. With representative strains A1 and A2, Coulombic efficiencies of 10% and 3.5%, respectively, were obtained in the microbial fuel cell. The findings of this study greatly advance the field as a viable source of power technology for alternative energy in the future, which is important given the depletion of natural resources.

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“…Much work has recently been applied to understand the metabolic interactions of a microbial community in various contexts, including the human gut microbiota and in environmental bioremediation [14][15][16][17][18][19] . Given the ubiquity of microbial activity, there is substantial value in using metabolic modeling to understand these communities' emergent behaviors and abilities.…”

Section: Introductionmentioning

confidence: 99%

“…(1) compartmentalization, wherein two metabolic models are merged into a single stoichiometric matrix with a shared compartment representing the extracellular space, (2) lumped model (also called "enzyme soup") approach, where all metabolites and reactions are pooled into a single model in proportion to the community makeup, and (3) costless secretion, where models are separately simulated while dynamically and iteratively updating the simulated environment by adjusting the models' exchange reactions and available nutrients based on metabolites that can be secreted without decreasing growth (costless metabolites) [19][20][21][22][23][24][25][26] .…”

Section: Introductionmentioning

confidence: 99%

Flux Sampling in Genome-scale Metabolic Modeling of Microbial Communities

Gelbach

Finley

2023

Preprint

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Microbial communities play a crucial role in ecosystem function through metabolic interactions. Genome-scale modeling is a promising method to understand these interactions. Flux balance analysis (FBA) is most often used to predict the flux through all reactions in a genome-scale model. However, the fluxes predicted by FBA depend on a user-defined cellular objective. Flux sampling is an alternative to FBA, as it provides the range of fluxes possible within a microbial community. Furthermore, flux sampling may capture additional heterogeneity across cells, especially when cells exhibit sub-maximal growth rates. In this study, we simulate the metabolism of microbial communities and compare the metabolic characteristics found with FBA and flux sampling. We find significant differences in the predicted metabolism with sampling, including increased cooperative interactions and pathway-specific changes in predicted flux. Our results suggest the importance of sampling-based and objective function-independent approaches to evaluate metabolic interactions and emphasize their utility in quantitatively studying interactions between cells and organisms.

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Recent progress in microbial fuel cells using substrates from diverse sources

Cited by 48 publications

References 280 publications

Periodic step polarization accelerates electron recovery by electroactive biofilms (EABs)

Periodic step polarization accelerates electron recovery by electroactive biofilms (EABs)

Isolation and Characterization of Bacteria with High Electroactive Potential from Poultry Wastewater

Flux Sampling in Genome-scale Metabolic Modeling of Microbial Communities

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