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<p>In this paper, the development of a highly sensitive hybrid structure-based surface plasmon resonance biosensor utilizing the Kretschmann configuration has been proposed. The designed sensor has been optimized to get the highest performance. The purpose is to detect waterborne bacteria such as <i>Vibrio cholera</i> (<i>V. cholera</i>), <i>Pseudomonas</i>, and <i>Escherichia coli</i> (<i>E. coli</i>). Here, a six-layer hybrid structure has been suggested employing a configuration of CaF<sub>2</sub> prism-ZnO-Ag-BaTiO<sub>3</sub>-BP-Affinity layer. The sensor is designed and evaluated using the finite element method-based COMSOL Multiphysics simulation platform. Consequently, the sensor offers a maximum sensitivity of 480°/RIU, quality factor of 234.146 RIU<sup>−1</sup>, detection accuracy of 2.352&#xa0;deg<sup>−1</sup>, and figure of merit of 145.341 RIU<sup>−1</sup> at the affinity layer refractive index of 1.5265. In this design, the affinity layer plays a vital role in the effective binding of molecules of the sensing medium to the BP layers. The designed sensor provides the highest performance of its kind and will add a new dimension to the researcher’s efforts to develop different types of biosensors for identifying water-borne bacteria.</p>

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Design and Analysis of a Highly Sensitive BaTiO3—BP Hybrid Structure-Based SPR Biosensor for Rapid Bacterial Detection

  • 期刊论文

  • 发表日期：

    2025年3月11日

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  • Md. Bijoy Khan,
  • Belal Hossain,
  • Tanjilur Rahman,
  • D. M. Shakil Ahmed,
  • Alok Kumar Paul

摘要

In this paper, the development of a highly sensitive hybrid structure-based surface plasmon resonance biosensor utilizing the Kretschmann configuration has been proposed. The designed sensor has been optimized to get the highest performance. The purpose is to detect waterborne bacteria such as Vibrio cholera (V. cholera), Pseudomonas, and Escherichia coli (E. coli). Here, a six-layer hybrid structure has been suggested employing a configuration of CaF2 prism-ZnO-Ag-BaTiO3-BP-Affinity layer. The sensor is designed and evaluated using the finite element method-based COMSOL Multiphysics simulation platform. Consequently, the sensor offers a maximum sensitivity of 480°/RIU, quality factor of 234.146 RIU−1, detection accuracy of 2.352 deg−1, and figure of merit of 145.341 RIU−1 at the affinity layer refractive index of 1.5265. In this design, the affinity layer plays a vital role in the effective binding of molecules of the sensing medium to the BP layers. The designed sensor provides the highest performance of its kind and will add a new dimension to the researcher’s efforts to develop different types of biosensors for identifying water-borne bacteria.