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

dc.contributor.authorGoicoechea Fernández, Javier
dc.contributor.authorRivero Fuente, Pedro J.
dc.contributor.authorSada Oreja, Samuel
dc.contributor.authorArregui San Martín, Francisco Javier
dc.contributor.departmentIngeniaritza Elektrikoa, Elektronikoaren eta Telekomunikazio Ingeniaritzareneu
dc.contributor.departmentIngeniaritzaeu
dc.contributor.departmentInstitute of Smart Cities - ISCen
dc.contributor.departmentInstitute for Advanced Materials and Mathematics - INAMAT2en
dc.contributor.departmentIngeniería Eléctrica, Electrónica y de Comunicaciónes_ES
dc.contributor.departmentIngenieríaes_ES
dc.contributor.funderUniversidad Pública de Navarra / Nafarroako Unibertsitate Publikoaes
dc.date.accessioned2020-03-06T10:04:33Z
dc.date.available2020-03-06T10:04:33Z
dc.date.issued2019
dc.description.abstractIntensity-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.en
dc.description.sponsorshipThis 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.en
dc.format.extent16 p.
dc.format.mimetypeapplication/pdfen
dc.identifier.doi10.3390/s19183872
dc.identifier.issn1424-8220
dc.identifier.urihttps://academica-e.unavarra.es/handle/2454/36406
dc.language.isoengen
dc.publisherMDPIen
dc.relation.ispartofSensors, 2019, 19 (18), 3872en
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/1PE/TEC2016-78047-R/
dc.relation.publisherversionhttps://doi.org/10.3390/s19183872
dc.rights© 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.en
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectOptical fiber sensoren
dc.subjectLocalized Surface Plasmon Resonance (LSPR)en
dc.subjectSilver nanoparticlesen
dc.subjectGold nanoparticlesen
dc.subjectHydrogen peroxide detectionen
dc.subjectSelf-referenced sensoren
dc.titleSelf-referenced optical fiber sensor for hydrogen peroxide detection based on LSPR of metallic nanoparticles in layer-by-layer filmsen
dc.typeinfo:eu-repo/semantics/article
dc.type.versioninfo:eu-repo/semantics/publishedVersion
dspace.entity.typePublication
relation.isAuthorOfPublicationd658878f-737e-410c-a380-9f69ad704c05
relation.isAuthorOfPublicationccf8da2b-8e86-4e57-835a-358562d70571
relation.isAuthorOfPublication90bd9817-d6cc-4907-ac5c-eb0d6317c3f7
relation.isAuthorOfPublication.latestForDiscoveryd658878f-737e-410c-a380-9f69ad704c05

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
2019100047_Goicoechea_SelfReferenced.pdf
Size:
2.67 MB
Format:
Adobe Portable Document Format
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed to upon submission
Description: