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Modeling, simulation and computational analysis of plasmonic optical sensor using BaTiO3 in diabetes mellitus

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Abstract

In the present paper, the design and simulation of a surface plasmon resonance (SPR) Sensor for better sensitivity performance by employing a thin layer of barium titanate (BaTiO3) has been presented. The proposed biosensor is comprised of layers in the following order: Prism–Ag–SiO2/BaTiO3–Au–Analyte. Urine Sample with different glucose levels is used as an analyte here. Monochromatic light of 633 nm is used for the excitation of plasmons in the biosensor. This biosensor would be able to respond for urine samples having the following range of sugar concentration present in non-diabetic person (0–15 mg/dL in the urine sample), and with the diabetic person (0.625, 1.25, 2.5, 5, and 10 g/dL in the urine sample). A comparison is also made with the SiO2 layer (conventional biosensor). On comparison, it is found that using the BaTiO3 layer, provides much lower values of reflectance and can significantly improve biosensor sensitivity up to 180°/RIU. This structure drops the sensitivity with the increase in the thickness of the BaTiO3 layer in the range of 2–7 nm. We also replaced the BaTiO3 Layer that shows lower sensitivity around 120°/RIU. So, it can be said that the BaTiO3 layer enhances the sensitivity of the structure and can detect a very minute change in the variation of the refractive indices of the analyte. This design is directly applicable for the detection of sugar level detection in diabetic and non-diabetic persons.

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Authors and Affiliations

  1. Department of ECE ASET, Amity University, Lucknow, Uttar Pradesh, India

    Archana Yadav & Anil Kumar

  2. Department of ECE, Ramaiah Institue of Technology, Bengaluru, India

    S. Sudhanva

  3. Department of ECE, The Oxford College of Engineering, Bengaluru, India

    Preeta Sharan

Authors
  1. Archana Yadav
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  2. S. Sudhanva
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  3. Preeta Sharan
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  4. Anil Kumar
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Correspondence to Preeta Sharan.

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Yadav, A., Sudhanva, S., Sharan, P. et al. Modeling, simulation and computational analysis of plasmonic optical sensor using BaTiO3 in diabetes mellitus. Int. j. inf. tecnol. 13, 2163–2168 (2021). https://doi.org/10.1007/s41870-021-00793-w

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  • DOI: https://doi.org/10.1007/s41870-021-00793-w

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