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A Magnetic Field SPR Sensor Based on Temperature Self-Reference.

Xinwei Mo1, Jiangtao Lv1,2, Qiang Liu1,2

  • 1College of Information Science and Engineering, Northeastern University, Shenyang 110004, China.

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Summary
This summary is machine-generated.

This study introduces a novel D-shaped photonic crystal fiber sensor for simultaneous magnetic field and temperature measurements. The sensor effectively separates these measurements, overcoming cross-sensitivity issues for improved magnetic field sensing.

Keywords:
magnetic fluidphotonic crystal fibersurface plasmon resonance

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Area of Science:

  • Photonics
  • Optical Sensors
  • Materials Science

Background:

  • Simultaneous measurement of magnetic field and temperature presents challenges due to cross-sensitivity.
  • Existing sensors often struggle to accurately distinguish between magnetic field and temperature variations.

Purpose of the Study:

  • To propose and characterize a novel D-shaped photonic crystal fiber sensor.
  • To achieve simultaneous and independent measurements of magnetic field and temperature.
  • To address and solve the cross-sensitivity problem in sensor design.

Main Methods:

  • Utilizing surface plasmon resonance (SPR) theory.
  • Employing a D-shaped photonic crystal fiber with a gold layer for magnetic fluid interaction.
  • Incorporating polydimethylsiloxane (PDMS) in an air hole for temperature sensing.
  • Leveraging differential refractive index changes for signal separation.

Main Results:

  • Demonstrated separate measurement channels for magnetic field and temperature.
  • Achieved a magnetic field sensitivity of 0.14274 nm/Oe.
  • Obtained a temperature sensitivity of -0.229 nm/°C.
  • Successfully mitigated cross-sensitivity between magnetic field and temperature readings.

Conclusions:

  • The proposed D-shaped photonic crystal fiber sensor enables simultaneous magnetic field and temperature measurements.
  • The sensor design effectively overcomes the cross-sensitivity issue, enhancing accuracy.
  • This work contributes a novel approach to dual-parameter sensing in optical fiber technology.