Abstract

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 SnO2 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.

Highlights

  • Graphene has become a trending topic in different scientific fields since Novoselov and Geim reported its successful isolation in 2004 [1]

  • The aim of this work was to confirm the suitability of graphene oxide (GO) coatings to improve the performance of lossy mode resonances (LMR)-based optical fiber sensors

  • A significant increase in the sensitivity of an optical fiber ethanol sensor based on LMR has been achieved by depositing a multilayer coating made of PEI and GO onto the initial device

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Summary

Introduction

Graphene has become a trending topic in different scientific fields since Novoselov and Geim reported its successful isolation in 2004 [1]. The complexity and price of its synthesis make the use of graphene unrealistic in some fields. In this regard, graphene oxide (GO) and reduced graphene oxide (rGO). Optical fiber sensors have achieved a high impact in the last decades because they offer several advantages over electronic sensors [6,7,8,9]. Optical fiber sensors are light, small, resistant to harsh environments and high temperatures, biocompatible, immune to electromagnetic fields and electromagnetically passive. These features make them especially suitable for some specific applications, such as biosensing, health care and sensing in offshore, harsh or flammable environments

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