Evidence map›Paper›PMID 36365759›Full record

ArticlePolymers2022

Construction of an Electrical Conductor, Strain Sensor, Electrical Connection and Cycle Switch Using Conductive Graphite Cotton Fabrics.

Fahad Alhashmi Alamer, Asal Aldeih, Omar Alsalmi, Khalid Althagafy, Mawaheb Al-Dossari

Abstract read
In one paragraph

Article in Polymers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Fahad Alhashmi AlamerDepartment of Physics, Faculty of Science, Umm AL-Qura University, Al Taif Road, Makkah 24382, Saudi Arabia.ORCID 0000-0003-3757-7084
Asal AldeihDepartment of Physics, Faculty of Science, Umm AL-Qura University, Al Taif Road, Makkah 24382, Saudi Arabia.
Omar AlsalmiDepartment of Physics, Faculty of Science, Umm AL-Qura University, Al Taif Road, Makkah 24382, Saudi Arabia.
Khalid AlthagafyDepartment of Physics, Faculty of Science, Umm AL-Qura University, Al Taif Road, Makkah 24382, Saudi Arabia.
Mawaheb Al-DossariDepartment of Physics, Faculty of Applied Science, King Khalid University, Abha 62529, Saudi Arabia.

Funding

Dean of Science and Research at King Khalid University via the Large Group Project RGP.2/156/43
6 · The paper itself

Abstract

Researchers in science and industry are increasingly interested in conductive textiles. In this article, we have successfully prepared conductive textiles by applying a graphite dispersion to cotton fabric using a simple brush-coating-drying method and the solvents of dimethyl sulfoxide, dimethyl formamide, and a solvent mixture of both. The sheet resistance of the resulting cotton fabrics could be influenced by the type of polar solvent used to prepare the graphite dispersion and the concentration of graphite. In addition, the graphite cotton fabrics showed semiconductive behavior upon studying the resistance at different temperatures. A flexible strain sensor was fabricated using these graphite cotton fabrics for human motion detection. Most importantly, the resulting strain sensor functions even after 100 bending cycles, indicating its excellent reproducibility. In addition, our results have also shown that these graphite cotton fabrics can be used as electrical interconnects in electrical circuits without any visible degradation of the conductive cotton. Finally, a cotton electrical cycle switch was made using the graphite cotton fabrics and worked in the on and off state.

Indexed as

cotton fabricscycle switchgraphitesheet resistancestrain sensor

Identifiers

PMID36365759
PMCPMC9655536

What OpenQuestion holds

Textmetadata
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.