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Graphene Oxide in Lossy Mode Resonance-Based Optical Fiber Sensors for Ethanol Detection
The influence of graphene oxide (GO) over the features of an optical fiber ethanol sensor based on lossy mode resonances (LMR) has been studied in this work. Four different sensors were built with this aim, each comprising a multimode optical fiber core fragment coated with a SnO(2) thin film. Layer...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5795551/ https://www.ncbi.nlm.nih.gov/pubmed/29280947 http://dx.doi.org/10.3390/s18010058 |
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author | Hernaez, Miguel Mayes, Andrew G. Melendi-Espina, Sonia |
author_facet | Hernaez, Miguel Mayes, Andrew G. Melendi-Espina, Sonia |
author_sort | Hernaez, Miguel |
collection | PubMed |
description | The influence of graphene oxide (GO) over the features of an optical fiber ethanol sensor based on lossy mode resonances (LMR) has been studied in this work. Four different sensors were built with this aim, each comprising a multimode optical fiber core fragment coated with a SnO(2) thin film. Layer by layer (LbL) coatings made of 1, 2 and 4 bilayers of polyethyleneimine (PEI) and graphene oxide were deposited onto three of these devices and their behavior as aqueous ethanol sensors was characterized and compared with the sensor without GO. The sensors with GO showed much better performance with a maximum sensitivity enhancement of 176% with respect to the sensor without GO. To our knowledge, this is the first time that GO has been used to make an optical fiber sensor based on LMR. |
format | Online Article Text |
id | pubmed-5795551 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-57955512018-02-13 Graphene Oxide in Lossy Mode Resonance-Based Optical Fiber Sensors for Ethanol Detection Hernaez, Miguel Mayes, Andrew G. Melendi-Espina, Sonia Sensors (Basel) Article The influence of graphene oxide (GO) over the features of an optical fiber ethanol sensor based on lossy mode resonances (LMR) has been studied in this work. Four different sensors were built with this aim, each comprising a multimode optical fiber core fragment coated with a SnO(2) thin film. Layer by layer (LbL) coatings made of 1, 2 and 4 bilayers of polyethyleneimine (PEI) and graphene oxide were deposited onto three of these devices and their behavior as aqueous ethanol sensors was characterized and compared with the sensor without GO. The sensors with GO showed much better performance with a maximum sensitivity enhancement of 176% with respect to the sensor without GO. To our knowledge, this is the first time that GO has been used to make an optical fiber sensor based on LMR. MDPI 2017-12-27 /pmc/articles/PMC5795551/ /pubmed/29280947 http://dx.doi.org/10.3390/s18010058 Text en © 2017 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 (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Hernaez, Miguel Mayes, Andrew G. Melendi-Espina, Sonia Graphene Oxide in Lossy Mode Resonance-Based Optical Fiber Sensors for Ethanol Detection |
title | Graphene Oxide in Lossy Mode Resonance-Based Optical Fiber Sensors for Ethanol Detection |
title_full | Graphene Oxide in Lossy Mode Resonance-Based Optical Fiber Sensors for Ethanol Detection |
title_fullStr | Graphene Oxide in Lossy Mode Resonance-Based Optical Fiber Sensors for Ethanol Detection |
title_full_unstemmed | Graphene Oxide in Lossy Mode Resonance-Based Optical Fiber Sensors for Ethanol Detection |
title_short | Graphene Oxide in Lossy Mode Resonance-Based Optical Fiber Sensors for Ethanol Detection |
title_sort | graphene oxide in lossy mode resonance-based optical fiber sensors for ethanol detection |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5795551/ https://www.ncbi.nlm.nih.gov/pubmed/29280947 http://dx.doi.org/10.3390/s18010058 |
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