Self-referenced optical fiber sensor for hydrogen peroxide detection based on LSPR of metallic nanoparticles in layer-by-layer films

Intensity-based optical fiber sensors are one of the most studied sensor approaches thanks to their simplicity and low cost. Nevertheless, their main issue is their lack of robustness since any light source fluctuation, or unexpected optical setup variation is directly transferred to the output sign...

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Autores: Goicoechea Fernández, Javier, Rivero Fuente, Pedro J., Sada Oreja, Samuel, Arregui San Martín, Francisco Javier
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2019
País:España
Institución:Universidad Pública de Navarra
Repositorio:Academica-e. Repositorio Institucional de la Universidad Pública de Navarra
OAI Identifier:oai:academica-e.unavarra.es:2454/36406
Acceso en línea:https://hdl.handle.net/2454/36406
Access Level:acceso abierto
Palabra clave:Optical fiber sensor
Localized Surface Plasmon Resonance (LSPR)
Silver nanoparticles
Gold nanoparticles
Hydrogen peroxide detection
Self-referenced sensor
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spelling Self-referenced optical fiber sensor for hydrogen peroxide detection based on LSPR of metallic nanoparticles in layer-by-layer filmsGoicoechea Fernández, JavierRivero Fuente, Pedro J.Sada Oreja, SamuelArregui San Martín, Francisco JavierOptical fiber sensorLocalized Surface Plasmon Resonance (LSPR)Silver nanoparticlesGold nanoparticlesHydrogen peroxide detectionSelf-referenced sensorIntensity-based optical fiber sensors are one of the most studied sensor approaches thanks to their simplicity and low cost. Nevertheless, their main issue is their lack of robustness since any light source fluctuation, or unexpected optical setup variation is directly transferred to the output signal, which, significantly reduces their reliability. In this work, a simple and robust hydrogen peroxide (H2O2) optical fiber sensor is proposed based on the Localized Surface Plasmon Resonance (LSPR) sensitivity of silver and gold metallic nanoparticles. The precise and robust detection of H2O2 concentrations in the ppm range is very interesting for the scientific community, as it is a pathological precursor in a wide variety of damage mechanisms where its presence can be used to diagnose important diseases such as Parkinson's disease, diabetes, asthma, or even Alzheimer's disease). In this work, the sensing principle is based the oxidation of the silver nanoparticles due the action of the hydrogen peroxide, and consequently the reduction of the efficiency of the plasmonic coupling. At the same time, gold nanoparticles show a high chemical stability, and therefore provide a stable LSPR absorption band. This provides a stable real-time reference that can be extracted from the spectral response of the optical fiber sensor, giving a reliable reading of the hydrogen peroxide concentration.This work has been supported by the Spanish Economy and Competitiveness TEC2016-78047-R grant and the PhD research grants of the Public University of Navarre.MDPIIngeniaritza Elektrikoa, Elektronikoaren eta Telekomunikazio IngeniaritzarenIngeniaritzaInstitute of Smart Cities - ISCInstitute for Advanced Materials and Mathematics - INAMAT2Ingeniería Eléctrica, Electrónica y de ComunicaciónIngenieríaUniversidad Pública de Navarra / Nafarroako Unibertsitate Publikoa2019info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://hdl.handle.net/2454/36406reponame:Academica-e. Repositorio Institucional de la Universidad Pública de Navarrainstname:Universidad Pública de NavarraInglésinfo:eu-repo/grantAgreement/ES/1PE/TEC2016-78047-R© 2019 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/info:eu-repo/semantics/openAccessoai:academica-e.unavarra.es:2454/364062026-06-17T12:41:47Z
dc.title.none.fl_str_mv Self-referenced optical fiber sensor for hydrogen peroxide detection based on LSPR of metallic nanoparticles in layer-by-layer films
title Self-referenced optical fiber sensor for hydrogen peroxide detection based on LSPR of metallic nanoparticles in layer-by-layer films
spellingShingle Self-referenced optical fiber sensor for hydrogen peroxide detection based on LSPR of metallic nanoparticles in layer-by-layer films
Goicoechea Fernández, Javier
Optical fiber sensor
Localized Surface Plasmon Resonance (LSPR)
Silver nanoparticles
Gold nanoparticles
Hydrogen peroxide detection
Self-referenced sensor
title_short Self-referenced optical fiber sensor for hydrogen peroxide detection based on LSPR of metallic nanoparticles in layer-by-layer films
title_full Self-referenced optical fiber sensor for hydrogen peroxide detection based on LSPR of metallic nanoparticles in layer-by-layer films
title_fullStr Self-referenced optical fiber sensor for hydrogen peroxide detection based on LSPR of metallic nanoparticles in layer-by-layer films
title_full_unstemmed Self-referenced optical fiber sensor for hydrogen peroxide detection based on LSPR of metallic nanoparticles in layer-by-layer films
title_sort Self-referenced optical fiber sensor for hydrogen peroxide detection based on LSPR of metallic nanoparticles in layer-by-layer films
dc.creator.none.fl_str_mv Goicoechea Fernández, Javier
Rivero Fuente, Pedro J.
Sada Oreja, Samuel
Arregui San Martín, Francisco Javier
author Goicoechea Fernández, Javier
author_facet Goicoechea Fernández, Javier
Rivero Fuente, Pedro J.
Sada Oreja, Samuel
Arregui San Martín, Francisco Javier
author_role author
author2 Rivero Fuente, Pedro J.
Sada Oreja, Samuel
Arregui San Martín, Francisco Javier
author2_role author
author
author
dc.contributor.none.fl_str_mv Ingeniaritza Elektrikoa, Elektronikoaren eta Telekomunikazio Ingeniaritzaren
Ingeniaritza
Institute of Smart Cities - ISC
Institute for Advanced Materials and Mathematics - INAMAT2
Ingeniería Eléctrica, Electrónica y de Comunicación
Ingeniería
Universidad Pública de Navarra / Nafarroako Unibertsitate Publikoa
dc.subject.none.fl_str_mv Optical fiber sensor
Localized Surface Plasmon Resonance (LSPR)
Silver nanoparticles
Gold nanoparticles
Hydrogen peroxide detection
Self-referenced sensor
topic Optical fiber sensor
Localized Surface Plasmon Resonance (LSPR)
Silver nanoparticles
Gold nanoparticles
Hydrogen peroxide detection
Self-referenced sensor
description Intensity-based optical fiber sensors are one of the most studied sensor approaches thanks to their simplicity and low cost. Nevertheless, their main issue is their lack of robustness since any light source fluctuation, or unexpected optical setup variation is directly transferred to the output signal, which, significantly reduces their reliability. In this work, a simple and robust hydrogen peroxide (H2O2) optical fiber sensor is proposed based on the Localized Surface Plasmon Resonance (LSPR) sensitivity of silver and gold metallic nanoparticles. The precise and robust detection of H2O2 concentrations in the ppm range is very interesting for the scientific community, as it is a pathological precursor in a wide variety of damage mechanisms where its presence can be used to diagnose important diseases such as Parkinson's disease, diabetes, asthma, or even Alzheimer's disease). In this work, the sensing principle is based the oxidation of the silver nanoparticles due the action of the hydrogen peroxide, and consequently the reduction of the efficiency of the plasmonic coupling. At the same time, gold nanoparticles show a high chemical stability, and therefore provide a stable LSPR absorption band. This provides a stable real-time reference that can be extracted from the spectral response of the optical fiber sensor, giving a reliable reading of the hydrogen peroxide concentration.
publishDate 2019
dc.date.none.fl_str_mv 2019
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/2454/36406
url https://hdl.handle.net/2454/36406
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv info:eu-repo/grantAgreement/ES/1PE/TEC2016-78047-R
dc.rights.none.fl_str_mv https://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:Academica-e. Repositorio Institucional de la Universidad Pública de Navarra
instname:Universidad Pública de Navarra
instname_str Universidad Pública de Navarra
reponame_str Academica-e. Repositorio Institucional de la Universidad Pública de Navarra
collection Academica-e. Repositorio Institucional de la Universidad Pública de Navarra
repository.name.fl_str_mv
repository.mail.fl_str_mv
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