<p>This work presents an analysis of long-range surface plasmon resonance (LRSPR) sensor with a high-figure of merit (FoM) and imaging sensitivity (S<sub>imag</sub>) for the detection of Cu<sup>2+</sup> and Mg<sup>2+</sup> ions in aqueous medium that is based on a Cytop-Cu (Copper)–ZrN (Zirconium Nitride) structure. Optimizing of resonance properties and improving sensing performance was obtained by analyzing the impact of Cytop and Cu layer thicknesses on the reflectance curve. To investigate the distribution of electric fields, plasmonic confinement, and resonance behavior at various thicknesses, numerical simulations utilizing Maxwell’s equations and fine mesh analysis were performed. The findings show that, in noble materials, the addition of ZrN as a plasmonic layer significantly enhances field confinement at the metal–dielectric interface while lowering optical losses. The maximum FoM of 1818.41/RIU and S<sub>imag</sub> of 5844.3/RIU at Cytop 900&#xa0;nm and Cu 20&#xa0;nm thicknesses. The maximum detection accuracy (DA) 100/° is achieved for the detection of both ions Cu<sup>2+</sup> and Mg<sup>2+</sup>. The synergy between Cu and the ultrathin ZrN interfacial layer, along with the inherent stability advantages of ZrN over conventional plasmonic metals like Ag and Al, are liable for the performance improvement seen in the suggested sensor. While the addition of an ultrathin ZrN layer successfully alters the interfacial optical properties, resulting in better mode confinement, decreased optical damping, and increased symmetry of the LRSPR mode, Cu offers a strong plasmonic response in the visible region. Additionally, the penetration depth (PD) of 496.05&#xa0;nm is obtained at 0&#xa0;mol/kg concentration of Cu<sup>2+</sup> and Mg<sup>2+</sup>ions. Overall, the proposed Cytop-Cu–ZrN-based LRSPR structure shows enhanced stability, DA and FoM, and field enhancement, making it a promising platform for chemical sensing and ion detection applications.</p> Graphical Abstract <p></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

Enhanced Figure of Merit for the Detection of Cu2+ and Mg2+ Ions in Water Using Long Range Surface Plasmon Resonance Sensor

  • Rajeev Kumar,
  • Mayank,
  • Rajesh Prakash Joshi,
  • Pushkar Praveen,
  • Lalit Garia,
  • Hiba Bouandas

摘要

This work presents an analysis of long-range surface plasmon resonance (LRSPR) sensor with a high-figure of merit (FoM) and imaging sensitivity (Simag) for the detection of Cu2+ and Mg2+ ions in aqueous medium that is based on a Cytop-Cu (Copper)–ZrN (Zirconium Nitride) structure. Optimizing of resonance properties and improving sensing performance was obtained by analyzing the impact of Cytop and Cu layer thicknesses on the reflectance curve. To investigate the distribution of electric fields, plasmonic confinement, and resonance behavior at various thicknesses, numerical simulations utilizing Maxwell’s equations and fine mesh analysis were performed. The findings show that, in noble materials, the addition of ZrN as a plasmonic layer significantly enhances field confinement at the metal–dielectric interface while lowering optical losses. The maximum FoM of 1818.41/RIU and Simag of 5844.3/RIU at Cytop 900 nm and Cu 20 nm thicknesses. The maximum detection accuracy (DA) 100/° is achieved for the detection of both ions Cu2+ and Mg2+. The synergy between Cu and the ultrathin ZrN interfacial layer, along with the inherent stability advantages of ZrN over conventional plasmonic metals like Ag and Al, are liable for the performance improvement seen in the suggested sensor. While the addition of an ultrathin ZrN layer successfully alters the interfacial optical properties, resulting in better mode confinement, decreased optical damping, and increased symmetry of the LRSPR mode, Cu offers a strong plasmonic response in the visible region. Additionally, the penetration depth (PD) of 496.05 nm is obtained at 0 mol/kg concentration of Cu2+ and Mg2+ions. Overall, the proposed Cytop-Cu–ZrN-based LRSPR structure shows enhanced stability, DA and FoM, and field enhancement, making it a promising platform for chemical sensing and ion detection applications.

Graphical Abstract