Design of a bioelectronic tongue for glucose monitoring using zinc oxide nanofibers and graphene derivatives

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dc.contributor.authorMercante, Luiza A.
dc.contributor.authorAndre, Rafaela S.
dc.contributor.authorFacure, Murilo H.M.
dc.contributor.authorFugikawa-Santos, Lucas [UNESP]
dc.contributor.authorCorrea, Daniel S.
dc.contributor.institutionUniversidade Federal da Bahia (UFBA)
dc.contributor.institutionEmpresa Brasileira de Pesquisa Agropecuária (EMBRAPA)
dc.contributor.institutionUniversidade Federal de São Carlos (UFSCar)
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.date.accessioned2022-04-28T19:49:32Z
dc.date.available2022-04-28T19:49:32Z
dc.date.issued2021-11-01
dc.description.abstractMonitoring glucose levels is critical for diabetes management and might be a key step in the development of individualized treatment strategies. In this scenario, tracking salivary glucose has been recognized as a promising strategy due to its merits of ease sampling and non-invasive nature. In this paper, we report on the development of an electrical impedance-based biosensor array to distinguish glucose at different concentrations in saliva. The enzymatic biosensors were made of gold interdigitated electrodes coated with pristine electrospun zinc oxide nanofibers (NFZ) and NFZ combined with graphene-based nanomaterials (i.e., reduced graphene oxide - rGO and graphene quantum dots - GQDs), on which a layer of glucose oxidase (GOx) enzyme was adsorbed. Electrical impedance measurements indicate that the NFZ-GQDs@GOx and NFZ-rGO@GOx platforms presented good linear relationship with glucose concentration in the range of 0.1 to 6 mM. The highest sensitivity was reached for NFZ-rGO@GOx with a detection limit (LOD) of 14 μM, while the LOD was 32 μM for NFZ-GQDs@GOx. Both biosensors were also capable of detecting glucose in artificial saliva using aliquots of 10 μL, with recovery between 87.3 and 106.8%. Furthermore, the three sensing units (NFZ@GOx, NFZ-rGO@GOx and NFZ-GQDs@GOx) were employed to build a bioelectronic tongue. Using Principal Component Analysis (PCA) technique to project the electrical impedance data of all sensing units allowed the discrimination of the different glucose concentrations and interferents. This study reveals the applicability of the developed bioelectronic tongue as non-invasive glucose sensors, which approach could also be pottentially adapted to detect other disease biomarkers present in saliva.en
dc.description.affiliationInstitute of Chemistry Federal University of Bahia (UFBA), BA
dc.description.affiliationNanotechnology National Laboratory for Agriculture (LNNA) Embrapa Instrumentação, SP
dc.description.affiliationPPGQ Department of Chemistry Center for Exact Sciences and Technology Federal University of São Carlos (UFSCar), SP
dc.description.affiliationPhysics Department Institute of Geosciences and Exact Sciences São Paulo State University (UNESP), SP
dc.description.affiliationUnespPhysics Department Institute of Geosciences and Exact Sciences São Paulo State University (UNESP), SP
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.description.sponsorshipIdFAPESP: 2016/23793-4
dc.description.sponsorshipIdFAPESP: 2017/10582-8
dc.description.sponsorshipIdFAPESP: 2017/12174-4
dc.description.sponsorshipIdFAPESP: 2018/22214-6
dc.identifierhttp://dx.doi.org/10.1016/j.snr.2021.100050
dc.identifier.citationSensors and Actuators Reports, v. 3.
dc.identifier.doi10.1016/j.snr.2021.100050
dc.identifier.issn2666-0539
dc.identifier.scopus2-s2.0-85122759884
dc.identifier.urihttp://hdl.handle.net/11449/223245
dc.language.isoeng
dc.relation.ispartofSensors and Actuators Reports
dc.sourceScopus
dc.subjectBiosensor array
dc.subjectElectrospinning
dc.subjectElectrospun nanofibers
dc.subjectGlucose detection
dc.subjectGraphene quantum dots
dc.subjectReduced graphene oxide
dc.titleDesign of a bioelectronic tongue for glucose monitoring using zinc oxide nanofibers and graphene derivativesen
dc.typeArtigo

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