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Computational Photonic Sensors pp 203–232Cite as

Microstructured Optical Fiber-Based Plasmonic Sensors

Abstract

Surface plasmon resonance (SPR) is a considerably growing optical sensing approach which has been employed in wide range of applications including medical diagnostics, biological and chemical analyte detection, environmental monitoring, and food safety to security. SPR sensing technique shows high sensitive nature due to small change of sample refractive index, compared to other optical sensing techniques. Recently, microstructured optical fiber -based plasmonic sensors have shown great development due to its compact structure and light controlling capabilities in unprecedented ways. The goal of this chapter is to (1) describe the principle operation of plasmonic sensors, (2) discuss the optical properties of plasmonic materials, (3) compare and contrast the different types of microstructured optical fiber -based plasmonic sensors, and (4) highlight the main challenges of microstructured plasmonic sensors and possible solutions.

Keywords

  • Surface plasmon resonance
  • Microstructured optical fiber
  • Optical fiber sensors
  • Optical sensing and sensors

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Fig. 9.1
Fig. 9.2

Reprinted with permission from Macmillan Publishers Ltd. [66]. c(i) Microdevice installed with the SPR fiber sensor head and (ii) the experimental setup for the detection of polymerase chain reaction amplification with SPR fiber sensor system. Reprinted with permission from Elsevier B.V. [95]. d Smartphone-based fiber optic SPR sensor for pregnancy test. Reprinted with permission from Optical Society of America [96]. e(i) Schematic of the plasmonic fiber optic sensing system for in situ biofilm monitoring, (ii) SEM image of the gold-coated optic fiber sensor, and (iii) the zoomed configuration of the gold-coated sensor probe. Reprinted with permission from the American Chemical Society [97]

Fig. 9.3

Reprinted with permission from Springer [108]

Fig. 9.4

Reprinted with permission from MDPI AG [42]. b(i) Cross-sectional view of the open ring PCF sensor, (ii) optical field distribution of the plasmonic mode, (iii) optical field distribution of the fundamental core-guided mode, and (iv) loss spectra for the variation of gold layer thickness. Reprinted with permission from Optical Society of America [112]. c(i) Cross-sectional view of the gold nanowire-based PCF sensor, (ii) optical field distribution of the plasmonic mode, (iii) optical field distribution of the fundamental core-guided mode, and (iv) loss spectra for the variation of analyte refractive index [113]

Fig. 9.5

Reprinted with permission from Optical Society of America [119]. b(i) Cross-sectional view of the bimetallic-slotted PCF sensor, (ii) loss spectra for the variation of silver layer thickness in quasi-TM mode, and (iii) loss spectra for the variation of silver layer thickness in quasi-TE mode. Reprinted with permission from SPIE [122]. c(i) Cross-sectional view of the PCF sensor with elliptical air holes, and (ii) loss spectra for the variation of analyte refractive index. Reprinted with permission from Optical Society of America [50]. d(i) Cross-sectional view of the PCF sensor with four microfluidic channels, and (ii) optical field distribution of the fundamental mode. Reprinted with permission from Springer [118]

Fig. 9.6

Reprinted with permission from IEEE [123]

Fig. 9.7

Reprinted with permission from Optical Society of America [128]. c Cross-sectional view of the D-shaped PCF with rectangular lattice air holes [46]. d(i) Cross-sectional view of the quasi-D-shaped PCF sensor and (ii) amplitude sensitivity for the variation of analyte refractive index from 1.33 to 1.37. Reprinted with permission from IEEE [132]. e Cross-sectional view of the hollow-core D-shaped PCF sensor with hexagonal lattice. Reprinted with permission from Springer [133]

Fig. 9.8

Reprinted with permission from Optical Society of America [109]

Fig. 9.9

Reprinted with permission from SPIE [140]. b(i) Cross-sectional view of the annular core PCF sensor and (ii) dependence of optical loss on the analyte channel width for different wavelengths [141]. c(i) Cross-sectional view of the copper–graphene-based PCF sensor and (ii) linear fitting of the resonance wavelengths. Reprinted with permission from IEEE [136]. d Cross-sectional view of the hexagonal lattice PCF sensor with external sensing. Reprinted with permission from IEEE [45]

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Authors and Affiliations

  1. Nonlinear Physics Centre, Research School of Physics & Engineering, Australian National University, Acton, ACT, 2601, Australia

    Ahmmed A. Rifat & Andrey E. Miroshnichenko

  2. Department of Electronics & Telecommunication Engineering, Rajshahi University of Engineering & Technology, Rajshahi, 6204, Bangladesh

    Md. Rabiul Hasan

  3. Nanotechnology Laboratory, School of Engineering, University of Birmingham, Birmingham, B15 2TT, UK

    Rajib Ahmed

  4. School of Engineering and Information Technology, University of New South Wales, Canberra, ACT, 2600, Australia

    Andrey E. Miroshnichenko

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  1. Ahmmed A. Rifat
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  1. Center for Photonics and Smart Materials and Nanotechnology Engineering Program, Zewail City of Science and Technology, Giza, Egypt

    Prof. Mohamed Farhat O. Hameed

  2. Center for Photonics and Smart Materials, Zewail City of Science and Technology, Giza, Egypt

    Prof. Salah Obayya

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Rifat, A.A., Rabiul Hasan, M., Ahmed, R., Miroshnichenko, A.E. (2019). Microstructured Optical Fiber-Based Plasmonic Sensors. In: Hameed, M., Obayya, S. (eds) Computational Photonic Sensors. Springer, Cham. https://doi.org/10.1007/978-3-319-76556-3_9

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