Scholarlink

<p>This study explores the potential of surface plasmon resonance (SPR) technology for rapid and non-invasive liver cancer detection under optimized radiation condition (ORD). This optimized structure enhances the Figure of Merit (FOM) by manipulating charge transfer to metal/dielectric interfaces. With the help of the 2D simulation technique, the peak value of FOM is obtained to be 9271.68 RIU<sup>− 1</sup> at the wavelength (λ) of 1014.3&#xa0;nm. The optimized thickness of the metal layer (t<sub>1</sub>) and the dielectric layer (t<sub>2</sub>) is 47.8&#xa0;nm and 4.4&#xa0;nm respectively. The sensitivity (S<sub>Y</sub>) for the liver tissue achieved is 230&#xa0;deg./RIU, correspondingly the power loss ratio (PLR) is calculated as 1.18. Overall, sensor performance is given by the combined performance factor (CPF) which is 14,262 µm<sup>4</sup>/ RIU (at ORD). Thus, the detection ability of the proposed SPR sensor to detect anomalies in tissues with greater ease can be a valuable contribution to our society.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Prism-based KNbO₃ SPR biosensor design and optimization for early liver cancer detection seeking high figure of merit

  • 期刊论文

  • 发表日期：

    2026年2月23日

查看全文
  • Sudhir Shukla,
  • Pooja Lohia,
  • D. K. Dwivedi

摘要

This study explores the potential of surface plasmon resonance (SPR) technology for rapid and non-invasive liver cancer detection under optimized radiation condition (ORD). This optimized structure enhances the Figure of Merit (FOM) by manipulating charge transfer to metal/dielectric interfaces. With the help of the 2D simulation technique, the peak value of FOM is obtained to be 9271.68 RIU− 1 at the wavelength (λ) of 1014.3 nm. The optimized thickness of the metal layer (t1) and the dielectric layer (t2) is 47.8 nm and 4.4 nm respectively. The sensitivity (SY) for the liver tissue achieved is 230 deg./RIU, correspondingly the power loss ratio (PLR) is calculated as 1.18. Overall, sensor performance is given by the combined performance factor (CPF) which is 14,262 µm4/ RIU (at ORD). Thus, the detection ability of the proposed SPR sensor to detect anomalies in tissues with greater ease can be a valuable contribution to our society.