<p>This study provides an in-depth numerical evaluation of a surface plasmon resonance (SPR) biosensor engineered for identifying HIV within human plasma. The biosensor’s structure draws from the Kretschmann arrangement and incorporates vital constituents, including a BaF<sub>2</sub> prism, gallium nitride (GaN), lead titanate (PbTiO<sub>3</sub>), black phosphorus (BP), and a customized detection layer. To examine the biosensor’s functional attributes, advanced techniques such as the transfer matrix technique and angular questioning are applied at a 633&#xa0;nm wavelength. The refined arrangement attains an angular sensitivity of 277.50 <InlineEquation ID="IEq1"> <EquationSource Format="TEX">\(\:^\circ\:\)</EquationSource> </InlineEquation>RIU-1, detection accuracy (D.A.) of 0.69&#xa0;deg<sup>−1</sup>, quality factor (Q.F.) of 191.3 RIU<sup>−1</sup>, figure of merit (FOM) of 191.18 RIU<sup>−1</sup>, limit of detection (LOD) of 1.8 × <InlineEquation ID="IEq2"> <EquationSource Format="TEX">\(\:{\times\:10}^{-5}\)</EquationSource> </InlineEquation>, and CSF of 186.88, over a refractive index range from 1.36 to 1.40. The research investigates the biosensor’s specificity and operational effectiveness through the assessment of key parameters, including detection accuracy, quality factor, figure of merit, and LOD. The results highlight considerable promise for progressing biomedical diagnostic tools and deliver noteworthy insights to the realm of materials science.</p>

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Numerical Study of Gallium Nitride and Lead Titanate-Based SPR Sensor for HIV Detection in Human Blood

  • Gaurav Dixit,
  • Vipin Sharma,
  • Lalit K. Dwivedi,
  • Sachin Singh,
  • Sandeep Kumar Nigam,
  • Arun Uniyal

摘要

This study provides an in-depth numerical evaluation of a surface plasmon resonance (SPR) biosensor engineered for identifying HIV within human plasma. The biosensor’s structure draws from the Kretschmann arrangement and incorporates vital constituents, including a BaF2 prism, gallium nitride (GaN), lead titanate (PbTiO3), black phosphorus (BP), and a customized detection layer. To examine the biosensor’s functional attributes, advanced techniques such as the transfer matrix technique and angular questioning are applied at a 633 nm wavelength. The refined arrangement attains an angular sensitivity of 277.50 \(\:^\circ\:\) RIU-1, detection accuracy (D.A.) of 0.69 deg−1, quality factor (Q.F.) of 191.3 RIU−1, figure of merit (FOM) of 191.18 RIU−1, limit of detection (LOD) of 1.8 × \(\:{\times\:10}^{-5}\) , and CSF of 186.88, over a refractive index range from 1.36 to 1.40. The research investigates the biosensor’s specificity and operational effectiveness through the assessment of key parameters, including detection accuracy, quality factor, figure of merit, and LOD. The results highlight considerable promise for progressing biomedical diagnostic tools and deliver noteworthy insights to the realm of materials science.