Circuit Modeling of rGO-doped Scaffolds for Spinal Cord Regeneration Based on Transient and xAC Analyses
dc.contributor.author | Al-Maghrabi, Latifah | |
dc.contributor.author | Martins, Patricia | |
dc.contributor.author | Silva, Daniela | |
dc.contributor.author | Gil, Guilherme | |
dc.contributor.author | Barroca, Nathalie | |
dc.contributor.author | Murua, Olatz | |
dc.contributor.author | Olalde, Beatriz | |
dc.contributor.author | Alves, Luis | |
dc.contributor.author | Pedreiras, Paulo | |
dc.contributor.author | Fonseca, Pedro | |
dc.contributor.author | Leduc, Philip | |
dc.contributor.author | Marques, Paula | |
dc.contributor.institution | SG | |
dc.contributor.institution | Biomateriales | |
dc.date.accessioned | 2024-07-24T11:48:41Z | |
dc.date.available | 2024-07-24T11:48:41Z | |
dc.date.issued | 2022 | |
dc.description | Publisher Copyright: © 2022 IEEE. | |
dc.description.abstract | Circuit modeling of scaffolds based on porcine adipose decellularized extracellular matrix (adECM) doped with reduced graphene oxide (rGO) for spinal cord regeneration is presented. The characteristics of the scaffolds capped with silver electrodes were studied in an aqueous medium through transient and AC analyses. In addition, cyclic voltammetry (CV) plots were obtained. The transient measurements were done using a custom current driver while the CV and AC measurements were obtained with an external impedance analyzer. The results revealed that incorporating rGO reduced the series resistance and the impedance at low frequencies of the scaffold. | en |
dc.description.sponsorship | This work is supported by the NeuroStimSpinal Project, Grant Agreement No. 829060 and the Fundac¸ão para a Ciência e Tecnologia (FCT), Ph.D. grant No. SFRH/BD/150824/2021. | |
dc.description.status | Peer reviewed | |
dc.format.extent | 5 | |
dc.identifier.citation | Al-Maghrabi , L , Martins , P , Silva , D , Gil , G , Barroca , N , Murua , O , Olalde , B , Alves , L , Pedreiras , P , Fonseca , P , Leduc , P & Marques , P 2022 , Circuit Modeling of rGO-doped Scaffolds for Spinal Cord Regeneration Based on Transient and xAC Analyses . in IEEE International Symposium on Circuits and Systems, ISCAS 2022 . Proceedings - IEEE International Symposium on Circuits and Systems , vol. 2022-May , Institute of Electrical and Electronics Engineers Inc. , pp. 1087-1091 , 2022 IEEE International Symposium on Circuits and Systems, ISCAS 2022 , Austin , United States , 27/05/22 . https://doi.org/10.1109/ISCAS48785.2022.9937411 | |
dc.identifier.citation | conference | |
dc.identifier.doi | 10.1109/ISCAS48785.2022.9937411 | |
dc.identifier.isbn | 9781665484855 | |
dc.identifier.issn | 0271-4310 | |
dc.identifier.uri | https://hdl.handle.net/11556/1793 | |
dc.identifier.url | http://www.scopus.com/inward/record.url?scp=85142524781&partnerID=8YFLogxK | |
dc.language.iso | eng | |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | |
dc.relation.ispartof | IEEE International Symposium on Circuits and Systems, ISCAS 2022 | |
dc.relation.ispartofseries | Proceedings - IEEE International Symposium on Circuits and Systems | |
dc.relation.projectID | Fundação para a Ciência e a Tecnologia, FCT, SFRH/BD/150824/2021 | |
dc.rights | info:eu-repo/semantics/restrictedAccess | |
dc.subject.keywords | SCI | |
dc.subject.keywords | electrical stimulation | |
dc.subject.keywords | injury | |
dc.subject.keywords | neural recovery | |
dc.subject.keywords | regeneration | |
dc.subject.keywords | scaffold | |
dc.subject.keywords | Electrical and Electronic Engineering | |
dc.title | Circuit Modeling of rGO-doped Scaffolds for Spinal Cord Regeneration Based on Transient and xAC Analyses | en |
dc.type | conference output |