Evidence map›Paper›PMID 36312350›Full record

ArticleACS omega2022

Electric Conductivity Study of Porous Polyvinyl Alcohol/Graphene/Clay Aerogels: Effect of Compression.

Vicente Compañ, Andreu Andrio, Jorge Escorihuela, Josua Velasco, Alejandro Porras-Vazquez, Jose Gamez-Perez

Abstract read
In one paragraph

Article in ACS omega, 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

6 authors.

Vicente CompañDepartamento de Termodinámica Aplicada (ETSII), Universitat Politècnica de València, Campus de Vera s/n, 46022Valencia, Spain.ORCID https://orcid.org/0000-0001-8233-7472
Andreu AndrioDepartamento de Física, Universitat Jaume I, Castellón de la Plana12071, Spain.
Jorge EscorihuelaDepartamento de Química Orgánica, Universitat de València, Av. Vicente Andrés Estellés s/n, Burjassot, 46100Valencia, Spain.ORCID https://orcid.org/0000-0001-6756-0991
Josua VelascoDepartamento de Ingeniería de Sistemas Industriales y Diseño, Universitat Jaume I, Castellón de la Plana12071, Spain.
Alejandro Porras-VazquezDepartamento de Ingeniería de Sistemas Industriales y Diseño, Universitat Jaume I, Castellón de la Plana12071, Spain.
Jose Gamez-PerezDepartamento de Ingeniería de Sistemas Industriales y Diseño, Universitat Jaume I, Castellón de la Plana12071, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this work, poly(vinyl alcohol) (PVOH)/graphene (GN) oxide/clay aerogels were prepared using montmorillonite (MMT) and kaolinite (KLT) as fillers. This work paves the way for the development of aerogels filled with MMT or KLT with high conductivity. The mechanical properties of the polymer/clay aerogels are enhanced by incorporating GN into these systems. These composite materials have an enhanced thermal stability, and the combination of PVOH and GN leads to interconnected channels which favored the conductivity when a clay (MMT or KLT) is added to the mixed PVOH/GN matrix. However, after compressing the samples, the conductivities drastically decreased. These results show that the design of solid MMT/GN and KLT/GN composites as aerogels allows maximizing the space utilization of the electrode volume to achieve unhindered ion transport, which seems contrary to the general design principle of electrode materials where a suitable porous structure is desired, such as in our uncompressed samples. These findings also demonstrate the potential of these materials in electrodes, sensors, batteries, pressure-sensing applications, and supercapacitors.

Identifiers

PMID36312350
PMCPMC9607684

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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.