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Updated: Aug 23, 2025

Fiber Optic Distributed Sensors for High-resolution Temperature Field Mapping
Published on: November 7, 2016
Fabry-Perot interferometers for highly-sensitive multi-point relative humidity sensing based on Vernier effect and
This study introduces a novel, highly sensitive relative humidity (RH) sensor using Fabry-Perot interferometers (FPI) and a Vernier effect. The sensor achieves enhanced performance through a specialized chitosan composite and digital signal processing for accurate RH monitoring.
Area of Science:
- Fiber Optic Sensors
- Interferometry
- Materials Science
Background:
- Relative humidity (RH) monitoring is crucial across various industries.
- Existing RH sensors often lack high sensitivity or multiplexing capabilities.
- Fabry-Perot interferometers (FPI) offer a platform for sensitive measurements.
Purpose of the Study:
- To develop and demonstrate a highly sensitive RH sensor.
- To leverage the Vernier effect for enhanced humidity sensitivity.
- To implement a digital signal processing (DSP) algorithm for demodulation and multi-point sensing.
Main Methods:
- Fabrication of an FPI sensor by splicing hollow core Bragg fiber (HCBF) with single mode fiber (SMF).
- Functionalization of the HCBF end with a chitosan and ultraviolet optical adhesive (UVOA) composite film.
- Utilizing the Vernier effect generated by reflection beams for improved sensitivity.
- Developing and verifying a DSP algorithm for spectrum demodulation.
Main Results:
- The proposed sensor demonstrated a high sensitivity of 1.45 nm/% RH within the 45%-90% RH range.
- The Vernier effect significantly enhanced the sensor's humidity sensitivity.
- The DSP algorithm was successfully applied for spectrum processing and verification.
Conclusions:
- The developed FPI-based RH sensor offers high sensitivity, compact size, and multiplexing capability.
- The sensor is a promising candidate for advanced RH monitoring applications.
- The proposed DSP algorithm has potential applications in other Vernier effect-based sensors.
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