@inproceedings{e7bd00979dc346b59850fd15df653674,
title = "Optical Fiber Sensors Based on Lossy Mode Resonances (LMRs): Fundamentals and Recent Developments",
abstract = "Lossy mode resonance (LMR)-optical sensing technology has consolidated in the last years in the field of the resonance-based sensors, which rely on the utilization of a thin film that affects the propagation of the light through the waveguide, thus generating a resonance. Optical fibers have been the most commonly employed waveguide for the development of LMR-based sensors, including applications such as refractive index sensing, gas detection, humidity sensing, pH sensing or biosensing, among others. In this work, the fundamentals of LMR-based optical fiber sensors are reviewed, as well as some of the main lines of research that are currently being pursued in order to improve their performance: development of multisensing platforms on fiber to simultaneously measure several variables, and increase of the resolution by either improving the sensitivity or the figure of merit (FOM) of the LMR based sensor.",
keywords = "lossy mode resonances (LMRs), optical fibre, optical resonances, sensors, thin-films",
author = "Imas, \{J. J.\} and \{Del Villar\}, Ignacio and Zamarre{\~n}o, \{Carlos R.\} and Matias, \{Ignacio R.\}",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 23rd International Conference on Transparent Optical Networks, ICTON 2023 ; Conference date: 02-07-2023 Through 06-07-2023",
year = "2023",
doi = "10.1109/ICTON59386.2023.10207231",
language = "English",
series = "International Conference on Transparent Optical Networks",
publisher = "IEEE Computer Society",
editor = "Marek Jaworski and Marian Marciniak",
booktitle = "2023 23rd International Conference on Transparent Optical Networks, ICTON 2023",
address = "United States",
}