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Neuromorphic organic devices that specifically discriminate dopamine from Its metabolites by nonspecific interactions

2020-07Artigo científico Acesso restrito
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dc.contributor.authorGiordani, Martina
dc.contributor.authorSensi, Matteo
dc.contributor.authorBerto, Marcello
dc.contributor.authorDi Lauro, Michele
dc.contributor.authorBortolotti, Carlo Augusto
dc.contributor.authorGomes, Henrique Leonel
dc.contributor.authorZoli, Michele
dc.contributor.authorZerbetto, Francesco
dc.contributor.authorFadiga, Luciano
dc.contributor.authorBiscarini, Fabio
dc.date.accessioned2021-06-24T11:35:34Z
dc.date.available2021-06-24T11:35:34Z
dc.date.issued2020-07
dc.description.abstractSpecific detection of dopamine (DA) is achieved with organic neuromorphic devices with no specific recognition function in an electrolyte solution. The response to voltage pulses consists of amplitude-depressed current spiking mimicking the short-term plasticity (STP) of synapses. An equivalent circuit hints that the STP timescale of the device arises from the capacitance and resistance of the poly(3,4-ethylenedioxythiophene):polystyrenesulfonate (PEDOT:PSS) in series with the electrolyte resistance. Both the capacitance and resistance of PEDOT:PSS change with solution compositions. Dose curves are constructed from the STP timescale for each DA metabolite from pM to mM range of concentrations. The STP response of DA is distinctive from the other metabolites even when differences are by one functional group. Both STP and sensitivity to DA are larger across the patho-physiological range with respect to those to DA metabolites. Density functional theory calculations hint to a stronger hydrogen bond pattern of DA ammonium compared to cationic metabolites. The exponential correlation between STP and the binding energy of DA metabolites interacting with PEDOT:PSS indicates that the slow dynamics of ionic species in and out PEDOT:PSS is the origin of the neuromorphic STP. The sensing framework discriminates differences of nonspecific interactions of few kcal mol(-1), corresponding to one functional group in the molecule.
dc.description.sponsorshipLife Science Department
dc.description.sponsorshipBiomedical, Metabolic and Neural Sciences Department of University of Modena and Reggio Emilia through "FAR 2018"
dc.description.sponsorshipDipartimenti di eccellenza 2018-2022, MIUR, Italy
dc.description.sponsorshipRegione Emilia-Romagna through "Percorso co-finanziato con risorse del Fondo Sociale Europeo Programma Operativo 2014/2020"
dc.description.sponsorshipBiomedical, Metabolic and Neural Sciences Department of University of Modena and Reggio Emilia through "FAR 2015"
dc.description.versioninfo:eu-repo/semantics/publishedVersion
dc.identifier.doi10.1002/adfm.202002141
dc.identifier.issn1616-301X
dc.identifier.urihttp://hdl.handle.net/10400.1/16477
dc.language.isoeng
dc.peerreviewedyes
dc.publisherWiley
dc.subjectBiosensors
dc.subjectNeuromorphic devices
dc.subjectOrganic bioelectronics
dc.subjectPEDOT
dc.subjectPSS
dc.subjectShort-term plasticity
dc.titleNeuromorphic organic devices that specifically discriminate dopamine from Its metabolites by nonspecific interactions
dc.typejournal article
dspace.entity.typePublication
oaire.citation.issue28
oaire.citation.startPage2002141
oaire.citation.titleAdvanced Functional Materials
oaire.citation.volume30
person.familyNameGomes
person.givenNameHenrique Leonel
person.identifier.orcid0000-0003-3664-4740
person.identifier.scopus-author-id7005305880
rcaap.rightsrestrictedAccess
rcaap.typearticle
relation.isAuthorOfPublication6da677b9-927f-423d-8657-448a0dccb67c
relation.isAuthorOfPublication.latestForDiscovery6da677b9-927f-423d-8657-448a0dccb67c

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