Evidence map›Paper›PMID 39455667›Full record

ArticleScientific reports2024

Anisotropic piezoresistive response of 3D-printed pressure sensor based on ABS/MWCNT nanocomposite.

Luciano J B Quaresma, Dhonata S C Oliveira, Rosielem S Dias, Kelly C Alves, Luiz G D de Barros, Gustavo Pessin, Amilton Sinatora, Waldeci Paraguassu, Marcos A L Dos Reis

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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. An erratum has been issued. 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. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Luciano J B QuaresmaGraduate Program in Materials Science and Engineering, Federal University of Pará, Ananindeua, PA, Brazil. luciano.quaresm@gmail.com.
Dhonata S C OliveiraGraduate Program in Materials Science and Engineering, Federal University of Pará, Ananindeua, PA, Brazil.
Rosielem S DiasGraduate Program in Materials Science and Engineering, Federal University of Pará, Ananindeua, PA, Brazil.
Kelly C AlvesGraduate Program in Materials Science and Engineering, Federal University of Pará, Ananindeua, PA, Brazil.
Luiz G D de BarrosMechanical Engineering Department, São Carlos School of Engineering, University of São Paulo, São Carlos, SP, Brazil.
Gustavo PessinInstitute of Exact and Natural Sciences, Federal University of Pará, Belém, PA, Brazil.
Amilton SinatoraInstituto Tecnológico Vale, Ouro Preto, MG, Brazil.
Waldeci ParaguassuGraduate Program in Materials Science and Engineering, Federal University of Pará, Ananindeua, PA, Brazil.
Marcos A L Dos ReisGraduate Program in Materials Science and Engineering, Federal University of Pará, Ananindeua, PA, Brazil.

Funding

Finep 01.22.0133.00
6 · The paper itself

Abstract

Nanocomposites based on carbon nanotubes (CNTs) are suitable for sensors, due to matrix ability to incorporate nanotube properties. Thus, we developed a low-cost, nanostructured poly(acrylonitrile-butadiene-styrene) (ABS) polymer piezoresistive sensor produced by additive manufacturing. For this, solution layers of acetone, dimethylformamide and CNTs functionalized with carboxylic acid were pulverized on an ABS substrate using an aerograph. Electrical characterization revealed an anisotropic piezoresistive response of the material, induced by the printing lines direction. Field Emission Gun-Scanning Electron Microscopy showed the nanostructured film spreading after five layers of CNTs as well as the random entanglement of nanotubes on parallel and perpendicular 3D-printed ABS substrates. Raman spectroscopy indicated compression and p-type doping of CNTs in interaction with the polymer, as seen mainly by the blueshift of the G and 2D subbands. The results show that the material is promising for pressure sensors, with potential applications in robotic haptic feedback systems.

Identifiers

PMID39455667
PMCPMC11511984

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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.