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<p>The article exhibits the detection of biomolecules in urine using mercury sulfide (HgS)-gallium sulfide (GaS)-integrated surface plasmon resonance (SPR) sensor for detecting the biomolecular interaction. In this work, we propose a SPR sensors with two structures, such as Structure 1 and Structure 2 that uses Kretschmann configuration, which offers a feature of surface plasmons with the silver (Ag). To analyze the sensor’s performance, the transfer matrix method is employed along with the angular interrogation technique. The optimization of the layers’ thicknesses is found using the iteration procedure. Then, the study shows the impact of the proposed structure in SPR sensor by analyzing the performance for different structures that are developed with the considered layers. The numerical outcomes confirm that the highest obtained parameters are sensitivity of 474.08 and 461.26&#xa0;<InlineEquation ID="IEq1"> <EquationSource Format="TEX">\(^\circ/RIU\)</EquationSource> </InlineEquation>, QF for 96.241 and 81.7677 <InlineEquation ID="IEq2"> <EquationSource Format="TEX">\(\:{RIU}^{-1}\)</EquationSource> </InlineEquation> and SNR of 0.4712 and 0.3539 using Structure 1 and 2, respectively. Furthermore, the useful steps for fabricating the sensor are also explored along the comparative study with the existing works, demonstrating that the proposed sensors outperform when compared with existing work.</p>

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A Novel Mercury and Gallium Sulfide Assisted Surface Plasmon Resonance Sensor with Enhanced Refractive Index Sensitivity

  • 期刊论文

  • 发表日期：

    2025年12月22日

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  • M. Jagadeeswar Goud,
  • Yesudasu Vasimalla,
  • Santosh Kumar

摘要

The article exhibits the detection of biomolecules in urine using mercury sulfide (HgS)-gallium sulfide (GaS)-integrated surface plasmon resonance (SPR) sensor for detecting the biomolecular interaction. In this work, we propose a SPR sensors with two structures, such as Structure 1 and Structure 2 that uses Kretschmann configuration, which offers a feature of surface plasmons with the silver (Ag). To analyze the sensor’s performance, the transfer matrix method is employed along with the angular interrogation technique. The optimization of the layers’ thicknesses is found using the iteration procedure. Then, the study shows the impact of the proposed structure in SPR sensor by analyzing the performance for different structures that are developed with the considered layers. The numerical outcomes confirm that the highest obtained parameters are sensitivity of 474.08 and 461.26  \(^\circ/RIU\) , QF for 96.241 and 81.7677 \(\:{RIU}^{-1}\) and SNR of 0.4712 and 0.3539 using Structure 1 and 2, respectively. Furthermore, the useful steps for fabricating the sensor are also explored along the comparative study with the existing works, demonstrating that the proposed sensors outperform when compared with existing work.