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Microstructured fiber (MF) sensors based on surface plasmon resonance (SPR) have been widely investigated because they have many merits including high sensitivity, label-free and real-time detection and so on, thus they possess extensive applications such as in food safety control, environmental monitoring, biomolecular analytes detection, antibody-antigen interaction, liquid detection and many others. However, most of reported SPR-based MF sensors can only work in the visible or near-infrared wavelength region. Hence, the investigation of high-performance mid-infrared SPR-based MF sensors is a challenge task. In this paper, with the aim of overcoming the above limitation, a new type of high-sensitivity SPR-based MF sensor coated with indium tin oxide (ITO) layer is proposed. The proposed sensor can work in both the near-infrared and mid-infrared wavelength region. Benefitting from its two-core and single analyte channel structure, our proposed sensor can effectively eliminate the interference among neighboring analyte channels, improving its signal-to-noise ratio, and achieving high-sensitivity detection in ultra-broadband wavelength range. By using the full-vector finite method with the PML boundary conditions, the sensing properties of our proposed sensor are numerically studied in detail. The numerical results show that the resonance wavelength of the proposed sensor shifts toward a long wavelength region as the refractive index of analyte increases from 1.423 to 1.513, and a similar phenomenon can be found if the thickness of the ITO layer increases from 40 nm to 60 nm. Nevertheless, the wavelength sensitivity of the proposed sensor decreases with the increase of the diameter of the hole located in the fiber core region. On the other hand, when the refractive index of analyte varies in a large range of 1.423–1.513, the proposed sensor can operate in an ultra-broad wavelength range of 1.548–2.796 μm, and the average wavelength sensitivity is as high as 13964 nm/refractive index unit (RIU). Moreover, the maximum wavelength sensitivity and refractive index resolution increase up to 17900 nm/RIU and 5.59 × 10–7 RIU, respectively. Hence, our proposed SPR-based MF sensor can be applied to environmental monitoring, biomolecular analyte detection and chemical detection.
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Keywords:
- fiber optics /
- microstructured fiber /
- surface plasmon resonance /
- sensor
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Google Scholar
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Google Scholar
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Guo S S, Hou J D 1996 Aerospace China 7 25
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Google Scholar
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Google Scholar
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Shuai B B 2013 M. S. Thesis (Wuha: Huazhong University of Science & Technology) (in Chinese)
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Google Scholar
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Google Scholar
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Google Scholar
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Google Scholar
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Google Scholar
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Google Scholar
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Google Scholar
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图 1 SPR-MF传感器的横截面示意图
Figure 1. Cross section of the proposed multi-core PCF sensor based on SPR.
图 2 (a) Y偏振模与SPP模的色散曲线; (b) Y偏振模与SPP模的损耗曲线
Figure 2. (a) The dispersion curve of Y-polarized mode and SPP mode; (b) the loss curve of Y-polarized mode and SPP mode.
图 3 当na从1.423增加到1.513时, (a) Y偏振模的损耗曲线和共振波长与(b)na的线性拟合曲线
Figure 3. (a) Loss curve of Y-polarized mode and (b) linear fitting line of the resonance wavelength versus na by changing na from 1.423 to 1.523.
图 4 ITO厚度对Y偏振模损耗的影响
Figure 4. Influence of the thickness of ITO film on the loss of Y-polarized mode.
图 5 d3对Y偏振模损耗的影响
Figure 5. The influence of d3 on the loss of Y-polarized model.
图 6 当na由1.423增大到1.433时, 结构参数t和d3对波长灵敏度的影响 (a)结构参数t; (b) d3
Figure 6. The influence of fiber parameters t and d3 on the wavelength sensitivity with na increasing from 1.423 to 1.433: (a) Fiber parameters t; (b) d3.
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[1] 梁瑞冰, 孙琪真, 沃江海, 刘德明 2011 60 104221
Google Scholar
Liang R B, Sun Q Z, Wo J H, Liu D M 2011 Acta Phys. Sin. 60 104221
Google Scholar
[2] 李桂成, 张微波 2011 计算机测量与控制 19 1420
Google Scholar
Li G C, Zhang W B 2011 Computer Measurement and Control 19 1420
Google Scholar
[3] 郭双生, 侯继东 1996 中国航天 7 25
Guo S S, Hou J D 1996 Aerospace China 7 25
[4] 施伟华, 尤承杰, 吴静 2015 64 224221
Google Scholar
Shi W H, You C J, Wu J 2015 Acta Phys. Sin. 64 224221
Google Scholar
[5] Hassani A, Skorobogatiy M 2006 Opt. Express 14 11616
Google Scholar
[6] Yu X, Zhang Y, Pan S, Shum P, Yan M, Leviatan Y, Li C 2010 J. Opt. 12 015005
Google Scholar
[7] 帅彬彬 2013 硕士学位论文 (武汉: 华中科技大学)
Shuai B B 2013 M. S. Thesis (Wuha: Huazhong University of Science & Technology) (in Chinese)
[8] Otupiri R, Akowuah E K, Haxha S, Ademgil H, AbdelMalek F, Aggoun A 2014 IEEE Photon. J. 6 1
Google Scholar
[9] Liu C, Wang F, Lv J, Sun T, Liu Q, Mu H, Chu P C 2015 J. Nanophotonics 9 0930501
Google Scholar
[10] Huang T Y 2017 Plasmonics 12 583
Google Scholar
[11] Chen X, Xia L, Li C 2018 IEEE Photon. J. 10 6800709
Google Scholar
[12] Li T, Zhu L, Yang X, Lou X, Yu L 2020 Sensor 20 741
Google Scholar
[13] Rifat A A, Mahdiraji G A, Shee Y G, Shawon M J, Adikan F R M 2016 Procedia Eng. 140 1
Google Scholar
[14] Yang Z, Xia L, Li C, Chen X, Liu D, 2019 Opt. Commun. 430 195
Google Scholar
[15] Petracek J, Selleri S 2001 Opt. Quant. Electron. 33 373
Google Scholar
[16] Zhang Z, Li S, Liu Q, Feng X, Zhang S, Wang Y, Wu J 2018 Opt. Fiber Technol. 43 45
Google Scholar
[17] Haque E, Hossain M A, Ahmed F, Namihira Y 2018 IEEE Sens. J. 18 8287
Google Scholar
[18] An G, Li S, Yan X, Zhang X, Yuan Z, Wang H, Zhang Y, Hao X, Shao Y, Han Z 2017 Plasmonics 12 465
Google Scholar
[19] Rifat A A, Mahdiraji G A, Chow D M, Shee Y G, Ahmed R, Adikan F R M 2015 Sensor 15 11499
Google Scholar
[20] Tong K, Wang F, Wang M, Dang P, Wang Y 2018 Opt. Fiber Technol. 46 306
Google Scholar
[21] Shuai B, Xia L, Zhang Y, Liu D 2012 Opt. Express 20 5974
Google Scholar
[22] Rahman M M, Molla M A, Paul A K, Based M A, Rana M M, Anower M S 2020 Results Phys. 18 103313
Google Scholar
[23] Abdullah H, Ahmed K, Mitu S A 2020 Results Phys. 17 103151
Google Scholar
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