Evidence map›Paper›PMID 35744818›Full record

ArticleMolecules (Basel, Switzerland)2022

Fabrication and Model Characterization of the Electrical Conductivity of PVA/PPy/rGO Nanocomposite.

Oladipo Folorunso, Moses Oluwafemi Onibonoje, Yskandar Hamam, Rotimi Sadiku, Suprakas Sinha Ray

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Temperature Dependence of the Electrical Properties of NaMolecules (Basel, Switzerland) · 2022
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Oladipo FolorunsoDepartment of Electrical Engineering, French South African Institute of Technology (F'SATI), Tshwane University of Technology, Pretoria 0001, South Africa.ORCID 0000-0002-8123-580X
Moses Oluwafemi OnibonojeDepartment of Electrical, Electronic and Computer Engineering, Afe Babalola University, Km 8.5, Afe Babalola Way, Ado-Ekiti 260213, Nigeria.ORCID 0000-0003-0243-0939
Yskandar HamamDepartment of Electrical Engineering, French South African Institute of Technology (F'SATI), Tshwane University of Technology, Pretoria 0001, South Africa.ORCID 0000-0002-9673-9189
Rotimi SadikuDepartment of Chemical, Institute of Nano Engineering Research (INER), Metallurgy and Material Engineering, Tshwane University of Technology, Pretoria 0001, South Africa.ORCID 0000-0002-8504-1041
Suprakas Sinha RayCentre for Nanostructures and Advanced Materials, DSI-CSIR Nanotechnology Innovation Centre, Council for Scientific and Industrial Research, Pretoria 0001, South Africa.ORCID 0000-0002-0007-2595

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

GraphiteNanocompositesElectric ConductivityPolymersPolyvinyl AlcoholPyrrolesgraphene oxideGraphitePolymersPolyvinyl AlcoholPyrroleselectrical conductivityenergy storagegraphenemodelspercolation thresholdpolypyrrolepolyvinyl alcohol

Identifiers

PMID35744818
PMCPMC9230829

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.