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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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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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