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Fabrication and Model Characterization of the Electrical Conductivity of PVA/PPy/rGO Nanocomposite
Owing to the numerous advantages of graphene-based polymer nanocomposite, this study is focused on the fabrication of the hybrid of polyvinyl alcohol (PVA), polypyrrole (PPy), and reduced graphene-oxide. The study primarily carried out the experimentation and the mathematical analysis of the electri...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9230829/ https://www.ncbi.nlm.nih.gov/pubmed/35744818 http://dx.doi.org/10.3390/molecules27123696 |
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author | Folorunso, Oladipo Onibonoje, Moses Oluwafemi Hamam, Yskandar Sadiku, Rotimi Ray, Suprakas Sinha |
author_facet | Folorunso, Oladipo Onibonoje, Moses Oluwafemi Hamam, Yskandar Sadiku, Rotimi Ray, Suprakas Sinha |
author_sort | Folorunso, Oladipo |
collection | PubMed |
description | Owing to the numerous advantages of graphene-based polymer nanocomposite, this study is focused on the fabrication of the hybrid of polyvinyl alcohol (PVA), polypyrrole (PPy), and reduced graphene-oxide. The study primarily carried out the experimentation and the mathematical analysis of the electrical conductivity of PVA/PPy/rGO nanocomposite. The preparation method involves solvent/drying blending method. Scanning electron microscopy was used to observe the morphology of the nanocomposite. The electrical conductivity of the fabricated PVA/PPy/rGO nanocomposite was investigated by varying the content of PPy/rGO on PVA. From the result obtained, it was observed that at about 0.4 (wt%) of the filler content, the nanocomposite experienced continuous conduction. In addition, Ondracek, Dalmas s-shape, dose–response, and Gaussian fitting models were engaged for the analysis of the electrical transport property of the nanocomposite. The models were validated by comparing their predictions with the experimental measurements. The results obtained showed consistency with the experimental data. Moreover, this study confirmed that the electrical conductivity of polymer-composite largely depends on the weight fraction of fillers. By considering the flexibility, simplicity, and versatility of the studied models, this study suggests their deployment for the optimal characterization/simulation tools for the prediction of the electrical conductivity of polymer-composites. |
format | Online Article Text |
id | pubmed-9230829 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-92308292022-06-25 Fabrication and Model Characterization of the Electrical Conductivity of PVA/PPy/rGO Nanocomposite Folorunso, Oladipo Onibonoje, Moses Oluwafemi Hamam, Yskandar Sadiku, Rotimi Ray, Suprakas Sinha Molecules Article Owing to the numerous advantages of graphene-based polymer nanocomposite, this study is focused on the fabrication of the hybrid of polyvinyl alcohol (PVA), polypyrrole (PPy), and reduced graphene-oxide. The study primarily carried out the experimentation and the mathematical analysis of the electrical conductivity of PVA/PPy/rGO nanocomposite. The preparation method involves solvent/drying blending method. Scanning electron microscopy was used to observe the morphology of the nanocomposite. The electrical conductivity of the fabricated PVA/PPy/rGO nanocomposite was investigated by varying the content of PPy/rGO on PVA. From the result obtained, it was observed that at about 0.4 (wt%) of the filler content, the nanocomposite experienced continuous conduction. In addition, Ondracek, Dalmas s-shape, dose–response, and Gaussian fitting models were engaged for the analysis of the electrical transport property of the nanocomposite. The models were validated by comparing their predictions with the experimental measurements. The results obtained showed consistency with the experimental data. Moreover, this study confirmed that the electrical conductivity of polymer-composite largely depends on the weight fraction of fillers. By considering the flexibility, simplicity, and versatility of the studied models, this study suggests their deployment for the optimal characterization/simulation tools for the prediction of the electrical conductivity of polymer-composites. MDPI 2022-06-08 /pmc/articles/PMC9230829/ /pubmed/35744818 http://dx.doi.org/10.3390/molecules27123696 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Folorunso, Oladipo Onibonoje, Moses Oluwafemi Hamam, Yskandar Sadiku, Rotimi Ray, Suprakas Sinha Fabrication and Model Characterization of the Electrical Conductivity of PVA/PPy/rGO Nanocomposite |
title | Fabrication and Model Characterization of the Electrical Conductivity of PVA/PPy/rGO Nanocomposite |
title_full | Fabrication and Model Characterization of the Electrical Conductivity of PVA/PPy/rGO Nanocomposite |
title_fullStr | Fabrication and Model Characterization of the Electrical Conductivity of PVA/PPy/rGO Nanocomposite |
title_full_unstemmed | Fabrication and Model Characterization of the Electrical Conductivity of PVA/PPy/rGO Nanocomposite |
title_short | Fabrication and Model Characterization of the Electrical Conductivity of PVA/PPy/rGO Nanocomposite |
title_sort | fabrication and model characterization of the electrical conductivity of pva/ppy/rgo nanocomposite |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9230829/ https://www.ncbi.nlm.nih.gov/pubmed/35744818 http://dx.doi.org/10.3390/molecules27123696 |
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