Long range surface plasmon resonance sensor based on side polished fiber with the buffer layer of magnesium fluoride

  • Xinjie Feng
  • Mei Yang
  • Yunhan Luo
  • Jieyuan Tang
  • Heyuan Guan
  • Junbin Fang
  • Huihui Lu
  • Jianhui Yu
  • Jun Zhang
  • Zhe Chen
Article
Part of the following topical collections:
  1. Numerical Simulation of Optoelectronic Devices 2016

Abstract

In this paper, a theoretical analysis of figure of merit (FOM) of a surface plasmon resonance (SPR) sensor with a buffer layer of magnesium fluoride has been carried out. While the FOM is the ratio of sensitivity and full width at half maximum and it is the measurement index for the SPR performance. The numerical simulation is based on side polished single mode fiber SPR sensor with the 66.5 μm residual fiber thickness and Drude model of metal with the 50 nm gold film thickness. Meanwhile, the comparisons for traditional surface plasmon resonance sensor, symmetrical surface plasmon resonance sensor and long range surface plasmon resonance sensor have performed differently for the FOM. The effect of sensitivity, full width at half maximum and transmittance depth has also been studied. All these studies, lead to a significant analysis to achieve the best possible design of a fiber optic SPR sensor with maximum FOM while the thickness of buffer layer is 100 nm. This design is expected to play an important role on chemical sensing and biological sensing.

Keywords

Surface plasmon resonance Side polished fiber 

Notes

Acknowledgements

This work is supported by the National Natural Science Foundation of China (Nos. 61177075, 61008057 and 61275046), the State Key Laboratory of Precision Measuring Technology and Instruments (No. PIL1406) and the Fundamental Research Funds for the Central Universities of China (No. 21614313).

References

  1. Cao, Z.X., Wu, L.N., Li, D.: Distributed optical fiber surface plasmon resonance sensors. Chin. Opt. Lett. 4, 160–163 (2006)ADSGoogle Scholar
  2. Chegel, V.I., et al.: Surface plasmon resonance sensor for pesticide detection. Sens. Actuators B 48, 456–460 (1998)CrossRefGoogle Scholar
  3. Homola, J.: Surface plasmon resonance sensors for detection of chemical and biological species. Chem. Rev. 108(2), 462–493 (2008)CrossRefGoogle Scholar
  4. Homola, J., Sinclair, S., Gauglitz, G.Y.: Surface plasmon resonance sensors: review. Sens. Actuators B 54, 3–15 (1999)CrossRefGoogle Scholar
  5. Kretschmann, E.: Die Bestimmung optischer Konstanten von Metallen durch Anregung von Oberflächenplasmaschwingungen. Z. Phys. 241, 313–324 (1971)ADSCrossRefGoogle Scholar
  6. Kretschmann, E., Raether, H.: Radiative decay of non radiative surface plasmons excited by light. Z. Naturfr. 23, 2135–2136 (1968)ADSGoogle Scholar
  7. Leidberg, B., Nylander, C., Sundstrom, I.: Surface plasmon resonance for gas detection and biosensing. Sens. Actuators 4, 299–304 (1983)CrossRefGoogle Scholar
  8. Otto, A.: Excitation of nonradiative surface plasma waves in silver by the method of frustrated total reflection. Z. Phys. 216, 398–410 (1968)ADSCrossRefGoogle Scholar
  9. Sarid, D.: Long-range surface-plasma waves on very thin metal films. Phys. Lett. 47(26), 1972–1980 (1981)CrossRefGoogle Scholar
  10. Sharma, A.K.: On the perfomance of different bimetallic combinations in surface plasmon resonance based fiber optic sensors. J. Appl. Phys. 101, 09311 (2007)Google Scholar
  11. Xinjie, F., Peiling, M., Xiaolong, C.: Design and optimization of surface plasmon resonance sensor based on side polished single-mode fiber. Spectrosc. Spectr. Anal. 35(05), 1419–1423 (2015)Google Scholar

Copyright information

© Springer Science+Business Media New York 2017

Authors and Affiliations

  • Xinjie Feng
    • 1
    • 2
  • Mei Yang
    • 1
    • 2
  • Yunhan Luo
    • 1
    • 2
  • Jieyuan Tang
    • 1
    • 2
  • Heyuan Guan
    • 1
    • 2
  • Junbin Fang
    • 1
    • 2
  • Huihui Lu
    • 1
    • 2
  • Jianhui Yu
    • 1
    • 2
  • Jun Zhang
    • 1
    • 2
  • Zhe Chen
    • 1
    • 2
  1. 1.Department of Optoelectronic EngineeringJinan UniversityGuangzhouChina
  2. 2.Guangdong Province University Key Lab of Numerical Controlled TechnologyGuangdong Polytechnic Normal UniversityGuangzhouChina

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