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Impact of the Cationic Moiety of Ionic Liquids on Chemoselective Artificial Olfaction

dc.contributor.authorOliveira, Ana Rita
dc.contributor.authorRamou, Efthymia
dc.contributor.authorPalma, Susana I. C. J.
dc.contributor.authorEsteves, Carina
dc.contributor.authorBarbosa, Arménio
dc.contributor.authorRoque, Ana Cecília Afonso
dc.contributor.institutionUCIBIO - Applied Molecular Biosciences Unit
dc.contributor.institutionDQ - Departamento de Química
dc.contributor.pblACS - American Chemical Society
dc.date.accessioned2023-09-18T22:13:52Z
dc.date.available2023-09-18T22:13:52Z
dc.date.issued2023-11-08
dc.descriptionFunding Information: This research was funded by the European Research Council (ERC) under the EU Horizon 2020 research and innovation program [grant reference SCENT-ERC-2014-STG-639123, 2015–2022, and Grant Agreement No. 101069405─ENSURE─ERC-2022-POC1]. Publisher Copyright: © 2023 The Authors. Published by American Chemical Society.
dc.description.abstractIonogels and derived materials are assemblies of polymers and ionic liquids characterized by high stability and ionic conductivity, making them interesting choices as gas sensors. In this work, we assessed the effect of the ionic liquid moiety to generate ionogels and hybrid gels as electrical and optical gas sensors. Six ionic liquids consisting of a constant anion (chloride) and distinct cationic head groups were used to generate ionogels and hybrid gels and further tested as gas sensors in customized electronic nose devices. In general, ionogel-based sensors yielded higher classification accuracies of standard volatile organic compounds when compared to hybrid material-based sensors. In addition, the high chemical diversity of ionic liquids is further translated to a high functional diversity in analyte molecular recognition and sensing.en
dc.description.versionpublishersversion
dc.description.versionpublished
dc.format.extent9
dc.format.extent6101697
dc.identifier.doi10.1021/acsmaterialsau.3c00042
dc.identifier.issn2694-2461
dc.identifier.otherPURE: 71845945
dc.identifier.otherPURE UUID: 76df3550-534c-498e-84cc-d8b400fc0e1c
dc.identifier.otherScopus: 85169336694
dc.identifier.otherWOS: 001048431900001
dc.identifier.otherORCID: /0000-0002-1851-8110/work/151391299
dc.identifier.otherORCID: /0000-0002-9756-4958/work/151404427
dc.identifier.urihttp://hdl.handle.net/10362/157968
dc.identifier.urlhttps://www.scopus.com/pages/publications/85169336694
dc.language.isoeng
dc.peerreviewedyes
dc.relationinfo:eu-repo/grantAgreement/FCT/9471 - RIDTI/PTDC%2FBII-BIO%2F28878%2F2017/PT
dc.relationBio-inspired materials for fish spoilage control
dc.relationPROTEIOS - Materiais proteicos para sensorização não invasiva
dc.relationApplied Molecular Biosciences Unit
dc.relationApplied Molecular Biosciences Unit
dc.relationInstitute for Health and Bioeconomy
dc.relationAn affinity-based approach towards highly specific odor sensing
dc.relationinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/LA%2FP%2F0140%2F2020/PT
dc.relationinfo:eu-repo/grantAgreement/FCT/OE/SFRH%2FBD%2F128687%2F2017/PT
dc.subjectelectronic nose
dc.subjectgas sensing
dc.subjecthybrid gels
dc.subjectionic liquids
dc.subjectionogels
dc.subjectElectronic, Optical and Magnetic Materials
dc.subjectBiomaterials
dc.subjectPolymers and Plastics
dc.subjectMaterials Chemistry
dc.titleImpact of the Cationic Moiety of Ionic Liquids on Chemoselective Artificial Olfactionen
dc.typejournal article
degois.publication.firstPage
degois.publication.lastPage
degois.publication.titleACS Materials Au
degois.publication.volume3
dspace.entity.typePublication
oaire.awardNumberPTDC/BII-BIO/28878/2017
oaire.awardNumberPTDC/CTM-CTM/3389/2021
oaire.awardNumberUIDP/04378/2020
oaire.awardNumberUIDB/04378/2020
oaire.awardNumberLA/P/0140/2020
oaire.awardNumberSFRH/BD/128687/2017
oaire.awardTitleBio-inspired materials for fish spoilage control
oaire.awardTitlePROTEIOS - Materiais proteicos para sensorização não invasiva
oaire.awardTitleApplied Molecular Biosciences Unit
oaire.awardTitleApplied Molecular Biosciences Unit
oaire.awardTitleInstitute for Health and Bioeconomy
oaire.awardTitleAn affinity-based approach towards highly specific odor sensing
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/9471 - RIDTI/PTDC%2FBII-BIO%2F28878%2F2017/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/Concurso de Projetos IC&DT em Todos os Domínios Científicos/PTDC%2FCTM-CTM%2F3389%2F2021/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F04378%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04378%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/LA%2FP%2F0140%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT//SFRH%2FBD%2F128687%2F2017/PT
oaire.fundingStream9471 - RIDTI
oaire.fundingStreamConcurso de Projetos IC&DT em Todos os Domínios Científicos
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
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