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Simulation and Analysis of Surface Plasmon Resonance Based Sensor

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Technological Innovation for Resilient Systems (DoCEIS 2018)

Abstract

In this paper, we will be presenting the results obtained through Finite-Difference Time Domain simulations on a photonic sensing architecture. This device consists on a dielectric/metal/dielectric sensing structure. Under adequate conditions, when electromagnetic energy strikes the different dielectrics interface, these devices develop surface plasmon resonances which are extremely sensitive to refractive index variations, thus being able to be used as sensing structures. Considering their minute dimensions, monolithic integration is attainable and by incorporating cost-effective materials in their manufacture, devices’ mass production may be efficient and information and communication technological systems’ resiliency will be greatly facilitated. Next, this architecture is analysed under amplitude and refractive index sensitivity perspectives, its performance is analysed and considerations about its use as a sensing device are contemplated. Finally, conclusions of our work are presented and future development directions are described.

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References

  1. Haeberle, S., Mark, D., Von Stetten, F., Zengerle, R.: Microfluidic platforms for lab-on-a-chip applications. Microsyst. Nanotechnol. 9783642182(9), 853–895 (2012)

    Article  Google Scholar 

  2. Bodeau, D.J., Graubart, R.D., Laderman, E.R.: Cyber resiliency engineering overview of the architectural assessment process. Procedia Comput. Sci. 28, 838–847 (2014)

    Article  Google Scholar 

  3. Koley, B.: Method and apparatus for photonic resiliency of a packet switched network. US 2008/0050117 A1 (2008)

    Google Scholar 

  4. Fernandez-Vallejo, M., et al.: Resilient long-distance sensor system using a multiwavelength Raman laser. Meas. Sci. Technol. 21(9) (2010)

    Google Scholar 

  5. Canalejas-Tejero, V., Herranz, S., Bellingham, A., Moreno-Bondi, M.C., Barrios, C.A.: Passivated aluminum nanohole arrays for label-free biosensing applications. ACS Appl. Mater. Interfaces 6(2), 1005–1010 (2014)

    Article  Google Scholar 

  6. Maier, S.A.: Plasmonics: Fundamentals and Applications. Springer, New York (2007). https://doi.org/10.1007/0-387-37825-1

    Google Scholar 

  7. Cennamo, N., Massarotti, D., Conte, L., Zeni, L.: Low cost sensors based on SPR in a plastic optical fiber for biosensor implementation. Sensors (Basel) 11(12), 11752–11760 (2011)

    Article  Google Scholar 

  8. Fantoni, A., Lourenco, P., Vieira, M.: A model for the refractive index of amorphous silico for FDTD simulation of photonics waveguides. In: Proceedings of the International Conference on Numerical Simulation of Optoelectronic Devices, NUSOD, no. L, pp. 167–168 (2017)

    Google Scholar 

  9. Optiwave Photonic Software (2017). https://optiwave.com. Accessed 20 Apr 2017

  10. Refractiveindex.info database (2017). http://refractiveindex.info/. Accessed 20 Apr 2017

  11. Zafar, R., Salim, M.: Enhanced phase sensitivity in plasmonic refractive index sensor based on slow light. IEEE Photonics Technol. Lett. 28(20), 2187–2190 (2016)

    Article  Google Scholar 

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Acknowledgments

This work was supported by FCT (CTS multi annual funding) through the PIDDAC Program funds (UID/EEA/00066/2013) and by the IPL IDI&CA 2016 EXOWAVE project. A special word of recognition to professors Miguel Fernandes and Yuri Vygranenko, whom have contributed with their invaluable expertise and will be of key importance for the experimental setup.

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Correspondence to Paulo Lourenço .

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Lourenço, P., Vieira, M., Fantoni, A. (2018). Simulation and Analysis of Surface Plasmon Resonance Based Sensor. In: Camarinha-Matos, L., Adu-Kankam, K., Julashokri, M. (eds) Technological Innovation for Resilient Systems. DoCEIS 2018. IFIP Advances in Information and Communication Technology, vol 521. Springer, Cham. https://doi.org/10.1007/978-3-319-78574-5_24

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  • DOI: https://doi.org/10.1007/978-3-319-78574-5_24

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-78573-8

  • Online ISBN: 978-3-319-78574-5

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