Two-channel photonic crystal fiber based on surface plasmon resonance for magnetic field and temperature dual-parameter sensing

表面等离子共振 光子晶体光纤 材料科学 灵敏度(控制系统) 聚二甲基硅氧烷 光电子学 大气温度范围 等离子体子 光纤 基质(化学分析) 温度测量 磁场 光学 分析化学(期刊) 波长 纳米技术 复合材料 电子工程 化学 物理 色谱法 量子力学 气象学 纳米颗粒 工程类
作者
Dongying Wang,Zao Yi,Guolu Ma,Bo Dai,Junbo Yang,Jianfa Zhang,Yang Yu,Chao Liu,Xianwen Wu,Qiang Bian
出处
期刊:Physical Chemistry Chemical Physics [Royal Society of Chemistry]
卷期号:24 (35): 21233-21241 被引量:117
标识
DOI:10.1039/d2cp02778j
摘要

In this paper, a dual-parameter sensor based on surface plasmon resonance (SPR)-photonic crystal fiber (PCF) is proposed, which can be applied in detecting the magnetic field and temperature. In this sensor, two elliptical channels are designed on both sides of the fiber core. The left channel (Ch 1) is coated with gold film and filled with magnetic fluid (MF) to achieve a response to the magnetic field and temperature using SPR. The right channel (Ch 2) is coated with gold film as well as Ta2O5 film to improve the SPR sensing performance. Finally, Ch 2 is filled with polydimethylsiloxane (PDMS) to achieve a response to the temperature. The mode characteristics, structural parameters and sensing performance are investigated by the finite element method. The results show that when the magnetic field is in the range of 50-130 Oe, the magnetic field sensitivities of Ch 1 and Ch 2 are 65 pm Oe-1 and 0 pm Oe-1, respectively. When the temperature is in the range of 17.5-27.5 °C, the temperature sensitivities of Ch 1 and Ch 2 are 520 pm °C-1 and 2360 pm °C-1, respectively. By establishing and demodulating a sensing matrix, the sensor can not only measure the temperature and magnetic field simultaneously but also solve the temperature cross-sensitivity problem. In addition, when the temperature exceeds a certain value, the proposed sensor is expected to achieve dual-parameter sensing without a matrix. The proposed dual-parameter SPR-PCF sensor has a unique structure and excellent sensing performance, which are important for the simultaneous sensing of multiple basic physical parameters.
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