Percolation-Modeling Comparison Between the Conductivities of Zinc-Graphene Quantum Dot Nanocomposite and Graphite during Extracellular Electron Transfer in Microbial Fuel Cell Electrodes

While promising as an energy production alternative through its sustainability and wastewater treatment utility, a microbial fuel cell is not widely used due to its low power output and high cost. The development of advanced electrode materials is currently being pursued to solve this problem. A zin...

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Main Authors: Biscocho, Jamme Omar A., Almazan, Ralph Calvin D., Emralino, Francis M., Manglicmot, Michelle T.
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Published: Animo Repository 2023
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Online Access:https://animorepository.dlsu.edu.ph/sinaya/vol2/iss1/3
https://animorepository.dlsu.edu.ph/context/sinaya/article/1055/viewcontent/3_Science_and_Technology_Manuscript__12_Percolation_Modeling.pdf
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Institution: De La Salle University
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spelling oai:animorepository.dlsu.edu.ph:sinaya-10552023-12-19T03:00:35Z Percolation-Modeling Comparison Between the Conductivities of Zinc-Graphene Quantum Dot Nanocomposite and Graphite during Extracellular Electron Transfer in Microbial Fuel Cell Electrodes Biscocho, Jamme Omar A. Almazan, Ralph Calvin D. Emralino, Francis M. Manglicmot, Michelle T. While promising as an energy production alternative through its sustainability and wastewater treatment utility, a microbial fuel cell is not widely used due to its low power output and high cost. The development of advanced electrode materials is currently being pursued to solve this problem. A zinc-graphene quantum dot nanocomposite was modeled using percolation theory as a prospective advanced electrode material. During extracellular electron transfer, the electrical conductivity properties of the material were studied through cellular percolation models, percolation probability functions, and electrical conductivity curves. These models were compared against those of the conventional graphite electrodes and the leading graphene electrodes. The nanocomposite was found to conduct at low probabilities of open sites and exhibit the highest electrical conductivity of the three materials for the longest duration across the interval. Based on the models, Zn-GQD was demonstrated to be an ideal MFC electrode material for its balance between the early onset of conduction and decently high electrical conductivity. 2023-11-08T08:00:00Z text application/pdf https://animorepository.dlsu.edu.ph/sinaya/vol2/iss1/3 info:doi/10.59588/3027-9283.1055 https://animorepository.dlsu.edu.ph/context/sinaya/article/1055/viewcontent/3_Science_and_Technology_Manuscript__12_Percolation_Modeling.pdf Sinaya: A Philippine Journal for Senior High School Teachers and Students Animo Repository percolation Zn-GQD nanocomposite microbial fuel cell electrode materials electrical conductivity Life Sciences
institution De La Salle University
building De La Salle University Library
continent Asia
country Philippines
Philippines
content_provider De La Salle University Library
collection DLSU Institutional Repository
topic percolation
Zn-GQD nanocomposite
microbial fuel cell
electrode materials
electrical conductivity
Life Sciences
spellingShingle percolation
Zn-GQD nanocomposite
microbial fuel cell
electrode materials
electrical conductivity
Life Sciences
Biscocho, Jamme Omar A.
Almazan, Ralph Calvin D.
Emralino, Francis M.
Manglicmot, Michelle T.
Percolation-Modeling Comparison Between the Conductivities of Zinc-Graphene Quantum Dot Nanocomposite and Graphite during Extracellular Electron Transfer in Microbial Fuel Cell Electrodes
description While promising as an energy production alternative through its sustainability and wastewater treatment utility, a microbial fuel cell is not widely used due to its low power output and high cost. The development of advanced electrode materials is currently being pursued to solve this problem. A zinc-graphene quantum dot nanocomposite was modeled using percolation theory as a prospective advanced electrode material. During extracellular electron transfer, the electrical conductivity properties of the material were studied through cellular percolation models, percolation probability functions, and electrical conductivity curves. These models were compared against those of the conventional graphite electrodes and the leading graphene electrodes. The nanocomposite was found to conduct at low probabilities of open sites and exhibit the highest electrical conductivity of the three materials for the longest duration across the interval. Based on the models, Zn-GQD was demonstrated to be an ideal MFC electrode material for its balance between the early onset of conduction and decently high electrical conductivity.
format text
author Biscocho, Jamme Omar A.
Almazan, Ralph Calvin D.
Emralino, Francis M.
Manglicmot, Michelle T.
author_facet Biscocho, Jamme Omar A.
Almazan, Ralph Calvin D.
Emralino, Francis M.
Manglicmot, Michelle T.
author_sort Biscocho, Jamme Omar A.
title Percolation-Modeling Comparison Between the Conductivities of Zinc-Graphene Quantum Dot Nanocomposite and Graphite during Extracellular Electron Transfer in Microbial Fuel Cell Electrodes
title_short Percolation-Modeling Comparison Between the Conductivities of Zinc-Graphene Quantum Dot Nanocomposite and Graphite during Extracellular Electron Transfer in Microbial Fuel Cell Electrodes
title_full Percolation-Modeling Comparison Between the Conductivities of Zinc-Graphene Quantum Dot Nanocomposite and Graphite during Extracellular Electron Transfer in Microbial Fuel Cell Electrodes
title_fullStr Percolation-Modeling Comparison Between the Conductivities of Zinc-Graphene Quantum Dot Nanocomposite and Graphite during Extracellular Electron Transfer in Microbial Fuel Cell Electrodes
title_full_unstemmed Percolation-Modeling Comparison Between the Conductivities of Zinc-Graphene Quantum Dot Nanocomposite and Graphite during Extracellular Electron Transfer in Microbial Fuel Cell Electrodes
title_sort percolation-modeling comparison between the conductivities of zinc-graphene quantum dot nanocomposite and graphite during extracellular electron transfer in microbial fuel cell electrodes
publisher Animo Repository
publishDate 2023
url https://animorepository.dlsu.edu.ph/sinaya/vol2/iss1/3
https://animorepository.dlsu.edu.ph/context/sinaya/article/1055/viewcontent/3_Science_and_Technology_Manuscript__12_Percolation_Modeling.pdf
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