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dc.contributor.authorMarqués Fernández, José Luis
dc.contributor.authorSalvador, María
dc.contributor.authorMartínez García, José Carlos
dc.contributor.authorFernández Miaja, Pablo
dc.contributor.authorGarcía Arribas, Alfredo
dc.contributor.authorRivas, Montserrat
dc.date.accessioned2023-03-13T17:13:37Z
dc.date.available2023-03-13T17:13:37Z
dc.date.issued2023-02-21
dc.identifier.citationSensors 23(5) : (2023) // Article ID 2372es_ES
dc.identifier.issn1424-8220
dc.identifier.urihttp://hdl.handle.net/10810/60338
dc.description.abstractWe demonstrate how resonant planar coils may be used as sensors to detect and quantify magnetic nanoparticles reliably. A coil’s resonant frequency depends on the adjacent materials’ magnetic permeability and electric permittivity. A small number of nanoparticles dispersed on a supporting matrix on top of a planar coil circuit may thus be quantified. Such nanoparticle detection has application detection to create new devices to assess biomedicine, food quality assurance, and environmental control challenges. We developed a mathematical model for the inductive sensor response at radio frequencies to obtain the nanoparticles’ mass from the self-resonance frequency of the coil. In the model, the calibration parameters only depend on the refraction index of the material around the coil, not on the separate magnetic permeability and electric permittivity. The model compares favourably with three-dimensional electromagnetic simulations and independent experimental measurements. The sensor can be scaled and automated in portable devices to measure small quantities of nanoparticles at a low cost. The resonant sensor combined with the mathematical model is a significant improvement over simple inductive sensors, which operate at smaller frequencies and do not have the required sensitivity, and oscillator-based inductive sensors, which focus on just magnetic permeability.es_ES
dc.description.sponsorshipThis work was partially founded by the Ministry of Science and Innovation of the Spanish Government through grant PLEC2022-009490, the University Technological Institute of Asturias (IUTA), under grant SV-22-GIJON-18, and the Government of the Principality of Asturias under projects FICYT/IDI/2021/000100 and FICYT/IDI/2021/000273. M.S. was supported by a “Severo Ochoa” fellowship (Consejería de Educación y Cultura del Gobierno del Principado de Asturias, grant BP19-141) and by the Margarita Salas fellowship financed by the European Union-NextGenerationEU and the Plan for Recovery, Transformation and Resilience.es_ES
dc.language.isoenges_ES
dc.publisherMDPIes_ES
dc.relationinfo:eu-repo/grantAgreement/MICINN/PLEC2022-009490es_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectself-resonant frequencyes_ES
dc.subjectinductive sensores_ES
dc.subjectcoiles_ES
dc.subjectnanoparticleses_ES
dc.subjectmagnetic nanoparticleses_ES
dc.subjectmagnetic lateral flow immunoassayses_ES
dc.subjectimpedancees_ES
dc.subjectrefraction indexes_ES
dc.subjectmagnetic permeabilityes_ES
dc.subjectelectric permittivityes_ES
dc.titleNew Perspective on Planar Inductive Sensors: Radio-Frequency Refractometry for Highly Sensitive Quantification of Magnetic Nanoparticleses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.date.updated2023-03-10T14:03:42Z
dc.rights.holder© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/ 4.0/).es_ES
dc.relation.publisherversionhttps://www.mdpi.com/1424-8220/23/5/2372es_ES
dc.identifier.doi10.3390/s23052372
dc.departamentoesElectricidad y electrónica
dc.departamentoeuElektrizitatea eta elektronika


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© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/ 4.0/).
Except where otherwise noted, this item's license is described as © 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/ 4.0/).