A Selective Filling Photonic Crystal Fiber Voltage and Magnetic Field Dual-Parameter Sensor Based on Surface Plasmon Resonance

We proposed a photonic crystal fiber (PCF) sensor with selective filling of liquid crystal and magnetic fluid based on the principle of surface plasmon resonance (SPR) with the dual-parameter detection of voltage and magnetic field. Sodium is selected as the metallic material for coating into the four air holes in the second cladding of the PCF to excite the SPR phenomenon. Considering the relatively active chemical property of sodium, which is prone to react with water-based or kerosene-based magnetic fluids, an additional adhesive layer of titanium dioxide (TiO<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub>) is deposited on the holes of the second cladding to protect the metal film. Liquid crystal (LC) and magnetic fluid (MF) are filled respectively in the four air holes of the second cladding of the PCF as this sensitive materials to realize dual-parameter detection of voltage and magnetic field. By using the full vector finite element method(FEM)under the condition of the perfectly matched layer (PML), the sensing performance is analyzed in this work. The simulation results indicate that the sensitivity of the designed sensor in the detection range of voltage from 0-60 V and magnetic field intensity from 267-910 Oe can reach 5.107 nm/V and 1416 pm/Oe respectively, which has a high-quality linearity and preferable detection independence.

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Publication Details

Journal
IEEE Sensors Journal
Published
2025-06-16
DOI
https://doi.org/10.1109/jsen.2025.3578148
Citations
2
Primary Topic
Advanced Fiber Optic Sensors
Type
article
Field-Weighted Citation Impact
1.46

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article

A Selective Filling Photonic Crystal Fiber Voltage and Magnetic Field Dual-Parameter Sensor Based on Surface Plasmon Resonance

Jiaming Liu, Yuqiu Fan, Junhao Meng, Dongwen Zhang et al.
2 citations
IEEE Sensors Journal
Advanced Fiber Optic Sensors
1.46
article

A Selective Filling Photonic Crystal Fiber Voltage and Magnetic Field Dual-Parameter Sensor Based on Surface Plasmon Resonance

Jiaming Liu, Yuqiu Fan, Junhao Meng, Dongwen Zhang, Juntao Lin, Zhenkai Fan
article en
2 citations

Abstract

We proposed a photonic crystal fiber (PCF) sensor with selective filling of liquid crystal and magnetic fluid based on the principle of surface plasmon resonance (SPR) with the dual-parameter detection of voltage and magnetic field. Sodium is selected as the metallic material for coating into the four air holes in the second cladding of the PCF to excite the SPR phenomenon. Considering the relatively active chemical property of sodium, which is prone to react with water-based or kerosene-based magnetic fluids, an additional adhesive layer of titanium dioxide (TiO<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub>) is deposited on the holes of the second cladding to protect the metal film. Liquid crystal (LC) and magnetic fluid (MF) are filled respectively in the four air holes of the second cladding of the PCF as this sensitive materials to realize dual-parameter detection of voltage and magnetic field. By using the full vector finite element method(FEM)under the condition of the perfectly matched layer (PML), the sensing performance is analyzed in this work. The simulation results indicate that the sensitivity of the designed sensor in the detection range of voltage from 0-60 V and magnetic field intensity from 267-910 Oe can reach 5.107 nm/V and 1416 pm/Oe respectively, which has a high-quality linearity and preferable detection independence.

IEEE Sensors JournalVol. 25(15)
Hebei University of Science and Technology (CN)
Natural Science Foundation of Hebei Province, Science and Technology Department of Hubei Province
Affordable and clean energy
Openalex Percentile: Top 17%
Advanced Fiber Optic Sensors
1.46
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A Selective Filling Photonic Crystal Fiber Voltage and Magnetic Field Dual-Parameter Sensor Based on Surface Plasmon Resonance — Jiaming Liu, Yuqiu Fan, et al. · IEEE Sensors Journal (2025) | TGRS Research Map | TGRS