Evidence map›Paper›PMID 38882075›Full record

ArticleACS omega2024

Evaluation of Strain Sensors Based on Poly(acrylonitrile-

José Carmelo Encinas-Encinas, María Mónica Castillo-Ortega, Teresa Del Castillo-Castro, Dora Evelia Rodríguez-Félix, Jesús Manuel Quiroz Castillo, Jesús Alberto Huitrón Gamboa

Abstract read
In one paragraph

Article in ACS omega, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

José Carmelo Encinas-EncinasDepartamento de Investigación en Polímeros y Materiales, Universidad de Sonora, Hermosillo 83000, Mexico.ORCID https://orcid.org/0000-0003-0192-5892
María Mónica Castillo-OrtegaDepartamento de Investigación en Polímeros y Materiales, Universidad de Sonora, Hermosillo 83000, Mexico.ORCID https://orcid.org/0000-0003-3522-1105
Teresa Del Castillo-CastroDepartamento de Investigación en Polímeros y Materiales, Universidad de Sonora, Hermosillo 83000, Mexico.ORCID https://orcid.org/0000-0001-7578-3124
Dora Evelia Rodríguez-FélixDepartamento de Investigación en Polímeros y Materiales, Universidad de Sonora, Hermosillo 83000, Mexico.ORCID https://orcid.org/0000-0002-3952-9329
Jesús Manuel Quiroz CastilloDepartamento de Investigación en Polímeros y Materiales, Universidad de Sonora, Hermosillo 83000, Mexico.ORCID https://orcid.org/0000-0002-8810-6162
Jesús Alberto Huitrón GamboaDepartamento de Investigación en Polímeros y Materiales, Universidad de Sonora, Hermosillo 83000, Mexico.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, the functionality of an elastomer composite material containing polypyrrole (PPy) as a stress sensor was evaluated. The material was prepared using the swelling method by diffusing the pyrrole monomer into the elastomer before polymerization. To achieve adequate diffusion, organic solvents with affinity for the elastomer were used. The resulting materials were characterized by scanning electron microscopy (SEM), surface electrical resistance, and thermal and mechanical properties for application as a stress sensor. The simultaneous change in electrical resistance and tension stress was measured using a digital multimeter with electrodes connected to the jaws of a universal mechanical testing machine. The influence of stress cycles on the piezoresistivity of the composite materials was investigated. The obtained PPy/NBR composite presented a good combination of electrical conductivity and mechanical properties. The strain at break remained with mild variation after coating with PPy.

Identifiers

PMID38882075
PMCPMC11170624

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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.