• Photonics Research
  • Vol. 8, Issue 4, 448 (2020)
Gui-Shi Liu1、†, Xin Xiong1、†, Shiqi Hu1, Weicheng Shi1, Yaofei Chen2、3、5、*, Wenguo Zhu2, Huadan Zheng1、3, Jianhui Yu1、3, Nur Hidayah Azeman1、4, Yunhan Luo1、2、6、*, and Zhe Chen2、3
Author Affiliations
  • 1Guangdong Provincial Key Laboratory of Optical Fiber Sensing and Communications, Jinan University, Guangzhou 510632, China
  • 2Key Laboratory of Optoelectronic Information and Sensing Technologies of Guangdong Higher Education Institutes, Jinan University, Guangzhou 510632, China
  • 3Key Laboratory of Visible Light Communications of Guangzhou, Jinan University, Guangzhou 510632, China
  • 4Photonics Technology Laboratory, Centre of Advanced Electronic and Communication Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, 43600 UKM Bangi, Selangor, Malaysia
  • 5e-mail: chenyaofei@jnu.edu.cn
  • 6e-mail: yunhanluo@163.com
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    DOI: 10.1364/PRJ.382567 Cite this Article Set citation alerts
    Gui-Shi Liu, Xin Xiong, Shiqi Hu, Weicheng Shi, Yaofei Chen, Wenguo Zhu, Huadan Zheng, Jianhui Yu, Nur Hidayah Azeman, Yunhan Luo, Zhe Chen. Photonic cavity enhanced high-performance surface plasmon resonance biosensor[J]. Photonics Research, 2020, 8(4): 448 Copy Citation Text show less
    (a) Schematic diagram of the proposed PC-SPR sensor. Simulated reflectance spectra of the sensor with (b) different bilayers of TiO2/SiO2, (c) different dAu at 30 nm Si layer, and (d) different dSi at 20 nm Au layer. The ambient RI is 1.33 for the simulations. (e) Performance of the sensor with different dSi and dAu. (f) Linear fitting of the resonant wavelength of the optimized PC-SPR device versus ambient refractive index of 1.31–1.37.
    Fig. 1. (a) Schematic diagram of the proposed PC-SPR sensor. Simulated reflectance spectra of the sensor with (b) different bilayers of TiO2/SiO2, (c) different dAu at 30 nm Si layer, and (d) different dSi at 20 nm Au layer. The ambient RI is 1.33 for the simulations. (e) Performance of the sensor with different dSi and dAu. (f) Linear fitting of the resonant wavelength of the optimized PC-SPR device versus ambient refractive index of 1.31–1.37.
    (a) SEM image of the cross-sectional PC-Au on a glass substrate and (b) the corresponding EDS spectrum. (c) SEM image of the cross-sectional glass substrate and (d) the corresponding EDS spectrum.
    Fig. 2. (a) SEM image of the cross-sectional PC-Au on a glass substrate and (b) the corresponding EDS spectrum. (c) SEM image of the cross-sectional glass substrate and (d) the corresponding EDS spectrum.
    (a) Reflectance spectra of the PC-SPR sensors for the liquid RI changing from 1.31 to 1.37, (b) linear fitting of the resonant wavelength versus ambient refractive index, (c) reflectance spectra of the 50 nm Au-SPR sensor with the RI ranging from 1.31 to 1.37, and (d) polynomial and linear fitting of the resonant wavelength versus ambient RI.
    Fig. 3. (a) Reflectance spectra of the PC-SPR sensors for the liquid RI changing from 1.31 to 1.37, (b) linear fitting of the resonant wavelength versus ambient refractive index, (c) reflectance spectra of the 50 nm Au-SPR sensor with the RI ranging from 1.31 to 1.37, and (d) polynomial and linear fitting of the resonant wavelength versus ambient RI.
    Comparison of the Au-SPR and PC-SPR sensors in terms of (a) sensitivity, (b) FWHM, (c) FOM, and (d) average FOM enhancement. The standard deviations are obtained from three tests with different sensors.
    Fig. 4. Comparison of the Au-SPR and PC-SPR sensors in terms of (a) sensitivity, (b) FWHM, (c) FOM, and (d) average FOM enhancement. The standard deviations are obtained from three tests with different sensors.
    Distribution of electric field intensity of (a), (c) the conventional 50 nm Au-SPR sensor and (b), (d) the PC-SPR sensor. The field intensity is obtained using finite-difference time-domain (FDTD) simulations provided by the Lumerical Solutions software.
    Fig. 5. Distribution of electric field intensity of (a), (c) the conventional 50 nm Au-SPR sensor and (b), (d) the PC-SPR sensor. The field intensity is obtained using finite-difference time-domain (FDTD) simulations provided by the Lumerical Solutions software.
    Reflectance spectra for the PC-SPR sensors versus BSA concentration ranging from 0 to 15 mg·mL−1. (b) Linear fitting of the average resonant wavelength for different BSA concentrations; the standard deviations are obtained from three tests with different sensors.
    Fig. 6. Reflectance spectra for the PC-SPR sensors versus BSA concentration ranging from 0 to 15  mg·mL1. (b) Linear fitting of the average resonant wavelength for different BSA concentrations; the standard deviations are obtained from three tests with different sensors.
    Plasmonic interfaceDetection range (RIU)Sensitivity (nm·RIU1)FWHM (nm)FOM (RIU1)Theoretical/ExperimentalRefs.
    Ag-porous silica42.9 deg · RIU10.505 deg85.0Theoretical[39]
    Au-oxide grating1.332–1.3729401562.5Experimental[42]
    Al-Cu1.333–1.352300–3100103–12119–30Experimental[40]
    Ag1.3–1.401523–436539.3–87.738.8–51.6Experimental[41]
    ITO-Ag1.33–1.3639Theoretical[43]
    Au mushrooms1.333–1.417101010108Experimental[20]
    Au HMM30,00050.8590Experimental[22]
    2D plasmonic array21903730Experimental[19]
    Au film1.31–1.371266–21619817.6ExperimentalThis work
    PC-Au1.31–1.372247–29943073.7–103.2Experimental
    Table 1. Comparison of the PC-SPR Sensor and Other SPR Sensors
    Gui-Shi Liu, Xin Xiong, Shiqi Hu, Weicheng Shi, Yaofei Chen, Wenguo Zhu, Huadan Zheng, Jianhui Yu, Nur Hidayah Azeman, Yunhan Luo, Zhe Chen. Photonic cavity enhanced high-performance surface plasmon resonance biosensor[J]. Photonics Research, 2020, 8(4): 448
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