Evidence map›Paper›PMID 39066126›Full record

ArticleSensors (Basel, Switzerland)2024

Capacitive Sensors Based on Recycled Carbon Fibre (rCF) Composites.

Oliver Ozioko, Daniel C Odiyi, Uchenna Diala, Fiyinfoluwa Akinbami, Marshal Emu, Mahmoud Shafik

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 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.

Oliver OziokoDepartment of Electrical and Electronic Engineering, College of Science and Engineering, University of Derby, Derby DE22 1GB, UK.ORCID 0000-0003-0208-5143
Daniel C OdiyiDepartment of Mechanical and Manufacturing Engineering, College of Science and Engineering, University of Derby, Derby DE22 1GB, UK.
Uchenna DialaDepartment of Electrical and Electronic Engineering, College of Science and Engineering, University of Derby, Derby DE22 1GB, UK.ORCID 0000-0001-6335-5886
Fiyinfoluwa AkinbamiDepartment of Mechanical and Manufacturing Engineering, College of Science and Engineering, University of Derby, Derby DE22 1GB, UK.
Marshal EmuDepartment of Electrical and Electronic Engineering, College of Science and Engineering, University of Derby, Derby DE22 1GB, UK.
Mahmoud ShafikDepartment of Electrical and Electronic Engineering, College of Science and Engineering, University of Derby, Derby DE22 1GB, UK.ORCID 0000-0001-8296-5698

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recycled carbon fibre (rCF) composites are increasingly being explored for applications such as strain sensing, manufacturing of automobile parts, assistive technologies, and structural health monitoring due to their properties and economic and environmental benefits. The high conductivity of carbon and its wide application for sensing makes rCF very attractive for integrating sensing into passive structures. In this paper, capacitive sensors have been fabricated using rCF composites of varying compositions. First, we investigated the suitability of recycled carbon fibre polymer composites for different sensing applications. As a proof of concept, we fabricated five touch/proximity sensors and three soil moisture sensors, using recycled carbon fibre composites and their performances compared. The soil moisture sensors were realised using rCF as electrodes. This makes them corrosion-resistant and more environmental-friendly, compared to conventional soil moisture sensors realised using metallic electrodes. The results of the touch/proximity sensing show an average change in capacitance (ΔC/C~34) for 20 mm and (ΔC/C~5) for 100 mm, distances of a hand from the active sensing region. The results of the soil moisture sensors show a stable and repeatable response, with a high sensitivity of ~116 pF/mL of water in the linear region. These results demonstrate their respective potential for touch/proximity sensing, as well as smart and sustainable agriculture.

Indexed as

capacitive soil moisture sensorcapacitive touch sensorsrecycled carbon fibre composites

Identifiers

PMID39066126
PMCPMC11281219

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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.