Optical fiber exhaled breath sensor based on lossy mode resonance using a graphene oxide sensitive coating

Sanchez, Pedro, Hernaez, Miguel ORCID: https://orcid.org/0000-0001-7878-4704, Zamarreño, Carlos, Arregui, Francisco, Mayes, Andrew and Melendi-Espina, Sonia ORCID: https://orcid.org/0000-0002-1083-3896 (2017) Optical fiber exhaled breath sensor based on lossy mode resonance using a graphene oxide sensitive coating. Proceedings, 1 (8). ISSN 2504-3900

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Abstract

Optical fiber sensors (OFS) have attracted increasing attention due to their benefits over traditional sensors, such as small size, biocompatibility, remote sensing ability or safety in flammable environments. Among the different existing configurations of OFS, those based on electromagnetic resonances are very popular as they are reliable, robust and very sensitive. In particular, sensors based on lossy mode resonance (LMR) are very interesting as a wide range of materials, including metal oxides and polymers, can support them and they do not require specific equipment to tune the optical polarization. Graphene-based materials like graphene oxide (GO) or reduced graphene oxide (rGO) have become the most explored materials since Novoselov and Geim achieved its isolation in 2004. Their superior properties, such as high surface area or extreme sensitivity to the external environment, make them ideal candidates for the fabrication of the sensitive coatings required by LMR-based sensors. In this work, the fabrication and characterization of a small and portable exhaled breath LMR-based OFS using GO as sensitive coating is presented. Refractive index changes have been detected showing a fast repetitive behavior with a response time of 150 ms from inhalation to exhalation and a high average sensitivity of 410 nm/RIU.

Item Type:	Article
Additional Information:	Presented at the 5th International Symposium on Sensor Science (I3S 2017), Barcelona, Spain, 27–29 September 2017.
Faculty \ School:	Faculty of Science > School of Chemistry (former - to 2024) Faculty of Science > School of Mathematics (former - to 2024)
UEA Research Groups:	Faculty of Science > Research Groups > Physical and Analytical Chemistry (former - to 2017) Faculty of Science > Research Groups > Chemistry of Materials and Catalysis Faculty of Science > Research Groups > Sustainable Energy Faculty of Science > Research Groups > Materials, Manufacturing & Process Modelling
Depositing User:	Pure Connector
Date Deposited:	23 Jun 2017 05:09
Last Modified:	07 Nov 2024 12:39
URI:	https://ueaeprints.uea.ac.uk/id/eprint/63828
DOI:	10.3390/proceedings1080713

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