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Design and Characterization Methodology for Efficient Wide Range Tunable MEMS Filters
Published on: February 4, 2018
Design rules for lossy mode resonance based sensors.
Ignacio Del Villar1, Miguel Hernaez, Carlos R Zamarreño
1Electrical and Electronic Engineering Department, Public University of Navarre, Campus Arrosadia s/n, 31006 Pamplona, NA, Spain. author: ignacio.delvillar@unavarra.es
Applied Optics
|July 10, 2012
Summary
This study demonstrates how to optimize optical fiber sensors by tuning coating properties. Adjusting refractive index and thickness enhances sensitivity for various sensing applications.
Area of Science:
- Optoelectronics
- Optical Fiber Sensing
- Thin-Film Technology
Background:
- Lossy mode resonances (LMRs) are observable in optical fiber transmission spectra.
- Cladding-removed multimode optical fibers coated with thin-films are utilized for sensing.
- Sensitivity of these devices depends on coating and surrounding medium properties.
Purpose of the Study:
- To optimize the sensitivity of optical fiber sensors based on LMRs.
- To provide design guidelines for selecting optimal sensor parameters.
- To explore the influence of coating and surrounding medium properties on sensor performance.
Main Methods:
- Theoretical analysis and simulation of LMRs in coated optical fibers.
- Investigating the effect of coating refractive index, coating thickness, and surrounding medium refractive index.
- Developing design rules for parameter selection.
Main Results:
- Lossy mode resonances are achievable in the transmission spectrum.
- Sensitivity can be significantly enhanced through proper parameterization.
- Identified key relationships between physical parameters and sensor sensitivity.
Conclusions:
- Optimized parameterization of coating refractive index, thickness, and surrounding medium is crucial for high-sensitivity optical fiber sensors.
- The study provides fundamental design rules for tailoring sensors to specific applications.
- This work contributes to the advancement of optical fiber sensing technologies.
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