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Effect of Polymer Hydrophobicity in the Performance of Hybrid Gel Gas Sensors for E-Noses

dc.contributor.authorOliveira, Ana Rita
dc.contributor.authorCosta, Henrique M. A.
dc.contributor.authorRamou, Efthymia
dc.contributor.authorPalma, Susana I. C. J.
dc.contributor.authorRoque, Ana Cecília A.
dc.contributor.institutionUCIBIO - Applied Molecular Biosciences Unit
dc.contributor.institutionDQ - Departamento de Química
dc.contributor.pblMDPI - Multidisciplinary Digital Publishing Institute
dc.date.accessioned2023-06-19T22:20:45Z
dc.date.available2023-06-19T22:20:45Z
dc.date.issued2023-03-28
dc.descriptionFunding Information: This research was funded by the European Research Council (ERC) under the EU Horizon 2020 research and innovation programme [SCENT-ERC-2014-STG-639123, (2015–2022) and Grant Agreement No. 101069405-ENSURE-ERC-2022-POC1]. The authors thank FCT/MCTES for the PhD grant SFRH/BD/14131/2019. Publisher Copyright: © 2023 by the authors.
dc.description.abstractRelative humidity (RH) is a common interferent in chemical gas sensors, influencing their baselines and sensitivity, which can limit the performance of e-nose systems. Tuning the composition of the sensing materials is a possible strategy to control the impact of RH in gas sensors. Hybrid gel materials used as gas sensors contain self-assembled droplets of ionic liquid and liquid crystal molecules encapsulated in a polymeric matrix. In this work, we assessed the effect of the matrix hydrophobic properties in the performance of hybrid gel materials for VOC sensing in humid conditions (50% RH). We used two different polymers, the hydrophobic PDMS and the hydrophilic bovine gelatin, as polymeric matrices in hybrid gel materials containing imidazolium-based ionic liquids, [BMIM][Cl] and [BMIM][DCA], and the thermotropic liquid crystal 5CB. Better accuracy of VOC prediction is obtained for the hybrid gels composed of a PDMS matrix combined with the [BMIM][Cl] ionic liquid, and the use of this hydrophobic matrix reduces the effect of humidity on the sensing performance when compared to the gelatin counterpart. VOCs interact with all the moieties of the hybrid gel multicomponent system; thus, VOC correct classification depends not only on the polymeric matrix used, but also on the IL selected, which seems to be key to achieve VOCs discrimination at 50% RH. Thus, hybrid gels’ tunable formulation offers the potential for designing complementary sensors for e-nose systems operable under different RH conditions.en
dc.description.versionpublishersversion
dc.description.versionpublished
dc.format.extent18
dc.format.extent5496932
dc.identifier.doi10.3390/s23073531
dc.identifier.issn1424-8220
dc.identifier.otherPURE: 64106914
dc.identifier.otherPURE UUID: 09099bf5-f4c4-435e-85cc-b5d0e4795eb8
dc.identifier.otherScopus: 85152305322
dc.identifier.otherWOS: 000970423800001
dc.identifier.otherPubMed: 37050591
dc.identifier.otherPubMedCentral: PMC10098550
dc.identifier.otherORCID: /0000-0002-1851-8110/work/151391297
dc.identifier.urihttp://hdl.handle.net/10362/154153
dc.identifier.urlhttps://www.scopus.com/pages/publications/85152305322
dc.language.isoeng
dc.peerreviewedyes
dc.relationinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F04378%2F2020/PT
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/OE/SFRH%2FBD%2F128687%2F2017/PT
dc.subjectelectronic nose
dc.subjectgas sensing
dc.subjectgelatin
dc.subjecthumidity
dc.subjectionic liquids
dc.subjectionogels
dc.subjectliquid crystals
dc.subjectPDMS
dc.subjectAnalytical Chemistry
dc.subjectInformation Systems
dc.subjectBiochemistry
dc.subjectAtomic and Molecular Physics, and Optics
dc.subjectInstrumentation
dc.subjectElectrical and Electronic Engineering
dc.titleEffect of Polymer Hydrophobicity in the Performance of Hybrid Gel Gas Sensors for E-Nosesen
dc.typejournal article
degois.publication.issue7
degois.publication.titleSensors
degois.publication.volume23
dspace.entity.typePublication
oaire.awardNumberUIDP/04378/2020
oaire.awardNumberUIDB/04378/2020
oaire.awardNumberLA/P/0140/2020
oaire.awardNumberSFRH/BD/128687/2017
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/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.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
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.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
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccess
relation.isProjectOfPublication38373452-5c9c-4724-8def-f03314ecce0e
relation.isProjectOfPublicatione07cf232-4705-4b5b-b2c4-af8f25311076
relation.isProjectOfPublication834c369e-6900-4105-aa78-6ba0e52f96ca
relation.isProjectOfPublication85de9154-b9a2-46f8-a4bb-b0bd8075fc93
relation.isProjectOfPublication.latestForDiscovery834c369e-6900-4105-aa78-6ba0e52f96ca

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