Repository logo
 
Publication

Manufacturing and characterisation of a piezoresistive strain sensor based on the rGO@PDMS composite for skin and prosthetic support systems

2024Conference object Open access
Simple item page
dc.contributor.authorGonçalves Ferreira, Rodrigo
dc.contributor.authorPereira Silva, A
dc.contributor.authorNunes-Pereira, João
dc.date.accessioned2024-02-23T17:05:22Z
dc.date.available2024-02-23T17:05:22Z
dc.date.issued2024
dc.description.abstractDue to an ever-increasing amount of population focusing more on their personal health, thanks to rising living standards, there is a pressing need to improve personal healthcare devices. These devices presently require laborious, time-consuming, and convoluted procedures that heavily rely on cumbersome equipment, causing discomfort and pain for the patients during invasive methods such as sample-gathering, blood sampling, and other traditional bench-top techniques [1]. The solution lies in the development of new flexible sensors with temperature, humidity, strain, pressure, and sweat detection and monitoring capabilities, mimicking some of the sensory capabilities of the skin [2]. Along these lines, carbon-based composite materials, which include graphene and other allotropes, have also garnered significant interest due to their electromechanical stability, extraordinary electrical conductivity, high specific surface area, variety, and relatively low cost [3].Thus, in this work, a piezoresistive strain sensor based on a polydimethylsiloxane (PDMS) composite nano reinforced with reduced graphene oxide (rGO) was manufactured, characterised, and tested for possible applications which include joint movement and breathing pattern monitoring, exhibiting the physical and electromechanical characteristics required for the effective detection of physiological signals. The samples were prepared via solution casting, followed by characterisation of the piezoresistive effect of the material, mechanical (3-point bending and tensile), morphological (SEM), structural (FTIR), and thermal (TGA) properties, along with performance testing in live-human’s body parts. Regarding results, it was observed the influence of the used PDMS elastomer-crosslinker ratio, cure temperature and time, dispersant and rGO content in the final performance of the sensor, with the possibility to tune certain characteristics to be better adjusted to specific applications. For this kind of application, the indicated elastomer-crosslinker is 15:1 cured at 120 °C for 20 minutes, with isopropyl alcohol as the dispersant and a rGO content between 3-5 wt.%. The obtained average gauge factors ranged from 7.49-14.85 for 3 wt.%, 9.84-30.8 for 4 wt.%, and 0.56-9.16 for 5 wt.% rGO, establishing these samples as effective piezoresistive sensors for bioengineering applications. It was also concluded that the manufactured composites exhibited good linearity and piezoresistive performance in the 1.54-2.87% strain range, some stability in the 100 cycle 3-point bending tests, the tensile strength varied from 1.05 MPa to 3.084 MPa, the degradation temperature ranged from 380 °C to 410 °C, as well as composites reversibly losing their electrical component before the structure integrity was lost, when tensile tested. Lastly, two proofs of concept were developed, where real-time acquisition and monitoring of data related to joint movements and breathing patterns was successfully performed in volunteers.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.urihttp://hdl.handle.net/10400.6/14256
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.relationEcoSensHeal: Self-sensing and self-healing composites for high responsibility applications based on recycled materials
dc.relationCentre for Mechanical and Aerospace Science and Technologies
dc.relationCentre for Mechanical and Aerospace Science and Technologies
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/pt_PT
dc.subjectBioengineeringpt_PT
dc.subjectPolymer Compositespt_PT
dc.subjectPiezoresistivitypt_PT
dc.subjectFlexible Sensorspt_PT
dc.subjectNanomaterialspt_PT
dc.titleManufacturing and characterisation of a piezoresistive strain sensor based on the rGO@PDMS composite for skin and prosthetic support systemspt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.awardTitleEcoSensHeal: Self-sensing and self-healing composites for high responsibility applications based on recycled materials
oaire.awardTitleCentre for Mechanical and Aerospace Science and Technologies
oaire.awardTitleCentre for Mechanical and Aerospace Science and Technologies
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/CEEC IND5ed/2022.05613.CEECIND%2FCP1746%2FCT0001/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00151%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F00151%2F2020/PT
oaire.citation.conferencePlacePolitécnico de Setúbal - Polytechnic Universitypt_PT
oaire.citation.endPage69pt_PT
oaire.citation.startPage68pt_PT
oaire.citation.titlePCF2024 - Portuguese Conference on Fracture, Abstracts Bookpt_PT
oaire.fundingStreamCEEC IND5ed
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
person.familyNameGonçalves Ferreira
person.familyNameSilva
person.familyNameNunes-Pereira
person.givenNameRodrigo
person.givenNameAbilio
person.givenNameJoão
person.identifier.ciencia-idD314-9C94-0B0F
person.identifier.ciencia-id6D16-6F7E-64F0
person.identifier.orcid0000-0002-3954-2910
person.identifier.orcid0000-0002-2100-7223
person.identifier.orcid0000-0002-6024-8716
person.identifier.ridO-1474-2013
person.identifier.ridAAD-6349-2020
person.identifier.scopus-author-id8540933900
person.identifier.scopus-author-id57200519831
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublicationed642768-0cef-47c9-9551-ef80096f59d3
relation.isAuthorOfPublicationbd5eb797-97f0-4f0d-9dd7-2953f4f01458
relation.isAuthorOfPublication6c577fb3-3c47-4e95-87f0-85484f1734ff
relation.isAuthorOfPublication.latestForDiscoveryed642768-0cef-47c9-9551-ef80096f59d3
relation.isProjectOfPublication8bbcf67f-11d7-4507-a9aa-5e1214442952
relation.isProjectOfPublicationc1aeadcb-d7fa-4d70-959a-2447dc0b2276
relation.isProjectOfPublication6b626f2a-2035-496c-9d04-521b1367db5c
relation.isProjectOfPublication.latestForDiscoveryc1aeadcb-d7fa-4d70-959a-2447dc0b2276

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Abstract Rodrigo_PCF 2024.pdf
Size:
203.65 KB
Format:
Adobe Portable Document Format
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

ICI - C-MAST | Documentos por Auto-Depósito
FE - DEM | Documentos por Auto-Depósito