Lossy mode resonance-based optical immunosensor towards detecting gliadin in aqueous solutions

dc.contributor.authorBenítez Pérez, Melanys
dc.contributor.authorZubiate Orzanco, Pablo
dc.contributor.authorSocorro Leránoz, Abián Bentor
dc.contributor.authorMatías Maestro, Ignacio
dc.contributor.departmentIngeniería Eléctrica, Electrónica y de Comunicaciónes_ES
dc.contributor.departmentInstitute of Smart Cities - ISCen
dc.contributor.departmentIngeniaritza Elektrikoa, Elektronikoaren eta Telekomunikazio Ingeniaritzareneu
dc.contributor.funderUniversidad Pública de Navarra / Nafarroako Unibertsitate Publikoaes
dc.date.accessioned2023-02-27T12:24:20Z
dc.date.available2023-02-27T12:24:20Z
dc.date.issued2023
dc.date.updated2023-02-27T12:13:47Z
dc.description.abstractThe development of accurate, intuitive, and easy-to-handle devices to detect different types of allergens is on the rise, as these are useful tools to guarantee consumer safety, which should be a priority for any food industry. Gliadin, one of the main proteins present in gluten, is the one responsible for triggering the immune system to produce autoantibodies in celiac disease, the most dangerous pathology related to gluten. Lossy Mode Resonance (LMR) based biosensors are lately known as a promising sensing technology and its implementation on planar waveguides has been shown to result in manageable, sustainable and robust structures. In this work, an LMR based microfluidic biosensor for gliadin detection is proposed, by coating a coverslip with Titanium Dioxide (TiO2) by Atomic Layer Deposition (ALD) to generate the resonance phenomena and functionalizing the sensor surface with anti-gliadin antibody (AGA) through covalent bond. The sensor was exposed to different gliadin concentrations in ultrapure water, in the range of 0.1–100 ppm with an accuracy of ±0.14 ppm, for a sensitivity of 1.35 ppm/ml. The calibration curve was obtained from the experimental data corresponding to three repetitions of the assay and a limit of detection (LOD) of 0.05 ppm was achieved. Moreover, the sensor was exposed to commercial flour samples, some of them labeled as gluten free (GF) and the response agreed with the expected results according to product label. Biosensor specificity to gliadin was demonstrated by injecting chicken egg white albumin without obtaining any significant response.en
dc.description.sponsorshipAuthors would like to thank the partial funding by the Spanish Agencia Estatal de Investigacion (AEI) with references PID2019-106070RB-I00 and also by the Public University of Navarra, with the project BIOFOCEL (ref. PJUPNA2033) and a pre-doctoral research grant.en
dc.format.mimetypeapplication/pdfen
dc.identifier.citationBenítez, M., Zubiate, P., Socorro-Leránoz, A. B., & Matias, I. R. (2023). Lossy mode resonance-based optical immunosensor towards detecting gliadin in aqueous solutions. Food Control, 147, 109624. https://doi.org/10.1016/j.foodcont.2023.109624en
dc.identifier.doi10.1016/j.foodcont.2023.109624
dc.identifier.issn0956-7135
dc.identifier.urihttps://academica-e.unavarra.es/handle/2454/44827
dc.language.isoengen
dc.publisherElsevieren
dc.relation.ispartofFood control 147 (2023) 109624en
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-106070RB-I00/ES/
dc.relation.publisherversionhttps://doi.org/10.1016/j.foodcont.2023.109624
dc.rights© 2023 The Authors. This is an open access article under the CC BY-NC-ND licenseen
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectGlutenen
dc.subjectGliadinen
dc.subjectFood safetyen
dc.subjectLossy mode resonanceen
dc.subjectBiosensoren
dc.subjectPlanar waveguideen
dc.titleLossy mode resonance-based optical immunosensor towards detecting gliadin in aqueous solutionsen
dc.typeinfo:eu-repo/semantics/article
dc.type.versioninfo:eu-repo/semantics/publishedVersion
dspace.entity.typePublication
relation.isAuthorOfPublication5362455c-45c7-4da4-9627-218e3bc1b1f1
relation.isAuthorOfPublication88f69525-b7db-404e-97ad-b18e8cf0afc9
relation.isAuthorOfPublicationbbb769e0-e56c-4b53-8e0b-cf33da20a35d
relation.isAuthorOfPublication.latestForDiscovery5362455c-45c7-4da4-9627-218e3bc1b1f1

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