Evidence map›Paper›PMID 39019925›Full record

ArticleScientific reports2024

Boosting piezoelectric properties of PVDF nanofibers via embedded graphene oxide nanosheets.

Mahmoud Salama, Aya Hamed, Sara Noman, Germein Magdy, Nader Shehata, Ishac Kandas

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. From Sensing Mechanisms to System Co-Design: Graphene-Based Sensors and Readout Circuits.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
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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

6 authors.

Mahmoud SalamaCenter of Smart Materials, Nanotechnology, and Photonics (CSMNP), Smart CI Research Center, Alexandria University, Alexandria, 21544, Egypt. mahmoud.salama@alexu.edu.eg.
Aya HamedCenter of Smart Materials, Nanotechnology, and Photonics (CSMNP), Smart CI Research Center, Alexandria University, Alexandria, 21544, Egypt.
Sara NomanCenter of Smart Materials, Nanotechnology, and Photonics (CSMNP), Smart CI Research Center, Alexandria University, Alexandria, 21544, Egypt.
Germein MagdyCenter of Smart Materials, Nanotechnology, and Photonics (CSMNP), Smart CI Research Center, Alexandria University, Alexandria, 21544, Egypt.
Nader ShehataCenter of Smart Materials, Nanotechnology, and Photonics (CSMNP), Smart CI Research Center, Alexandria University, Alexandria, 21544, Egypt.
Ishac KandasCenter of Smart Materials, Nanotechnology, and Photonics (CSMNP), Smart CI Research Center, Alexandria University, Alexandria, 21544, Egypt.

Funding

Science and Technology Development Fund 47309
6 · The paper itself

Abstract

Tremendous research efforts have been directed toward developing polymer-based piezoelectric nanogenerators (PENG) in a promising step to investigate self-charging powered systems (SCPSs) and consequently, support the need for flexible, intelligent, and ultra-compact wearable electronic devices. In our work, electrospun polyvinylidene fluoride (PVDF) nanofiber mats were investigated while graphene oxide (GO) was added with different concentrations (from 0 to 3 wt.%). Sonication treatment was introduced for 5 min to GO nanosheets before combined PVDF solution. A comprehensive study was conducted to examine the GO incremental effect. Microstructural and mechanical properties were examined using a scanning electron microscope (SEM) and a texture analyzer. Moreover, piezoelectric properties were assessed via various tests including impulse response, frequency effect, d

Indexed as

And SCPSsElectrospinningGONanofibersPENGPVDF

Identifiers

PMID39019925
PMCPMC11254930

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.