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Temperature-insensitive hybrid interferometric liquid refractive index sensor.

Lijun Li1, Fengjuan Wei1, Tianzong Xu1

  • 1College of Electronic Information Engineering, Shandong University of Science and Technology, Qingdao 266590, China.

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|March 2, 2021
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Summary
This summary is machine-generated.

This study introduces a novel fiber optic sensor combining Fabry-Pérot (F-P) and Mach-Zehnder (M-Z) interferometers. The sensor effectively measures liquid refractive index (RI) while eliminating temperature cross-sensitivity.

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Area of Science:

  • Optics and Photonics
  • Fiber Optic Sensing Technology
  • Interferometry

Background:

  • Fiber optic sensors are crucial for various sensing applications.
  • Temperature fluctuations can introduce cross-sensitivity in refractive index (RI) measurements.
  • Existing sensor designs often struggle with simultaneous high sensitivity and temperature insensitivity.

Purpose of the Study:

  • To propose and demonstrate a temperature-insensitive hybrid fiber optic sensor.
  • To leverage combined Fabry-Pérot (F-P) and Mach-Zehnder (M-Z) interference principles for enhanced sensing.
  • To achieve accurate liquid RI measurements with minimized temperature effects.

Main Methods:

  • Development of a compact all-fiber hybrid structure integrating F-P and M-Z interferometers.
  • Theoretical analysis and experimental validation of the sensing mechanism.
  • Utilizing the differential wavelength shift between F-P and M-Z dips to compensate for temperature variations.

Main Results:

  • Demonstrated opposite wavelength shifts for F-P (red-drift) and M-Z (blue-drift) dips with increasing RI.
  • Achieved a high liquid RI sensitivity of 134.383 nm/RIU.
  • Effectively eliminated temperature cross-sensitivity within a ±21.74°C range at room temperature.

Conclusions:

  • The proposed hybrid F-P and M-Z sensor offers a robust solution for temperature-insensitive RI sensing.
  • The sensor exhibits a simple structure, good integration, and low power loss.
  • This technology has potential applications in environmental monitoring and industrial process control.