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<p>This study presents a novel optimization of a surface plasmon resonance (SPR) biosensor for non-invasive glucose detection in urine. By incorporating a multilayer structure comprising a cesium fluoride (CsF) prism, a copper (Cu) plasmonic layer, a halide perovskite (FASnI<sub>₃</sub>) layer, and 1–6 layers of black phosphorus (BP), the biosensor achieves exceptional performance metrics. Systematic analysis reveals that a five-layer BP configuration optimally enhances electromagnetic field confinement, yielding a sensitivity exceeding 500°/RIU and a quality factor above 140, significantly surpassing conventional SPR designs. The proposed design leverages the cost-effectiveness of Cu as an alternative to precious metals and the advanced optical properties of BP, establishing a superior diagnostic tool for precise, real-time glucose monitoring. This research lays a foundation for next-generation biosensors, offering high sensitivity, reduced costs, and versatile applications in healthcare diagnostics.</p>

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Sensitivity Enhancement of Plasmonic Biosensor for Glucose Level Detection Using Black Phosphorus and Copper-Based Multilayer Design

  • 期刊论文

  • 发表日期：

    2025年3月17日

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  • Vahideh Mohadesi

摘要

This study presents a novel optimization of a surface plasmon resonance (SPR) biosensor for non-invasive glucose detection in urine. By incorporating a multilayer structure comprising a cesium fluoride (CsF) prism, a copper (Cu) plasmonic layer, a halide perovskite (FASnI₃) layer, and 1–6 layers of black phosphorus (BP), the biosensor achieves exceptional performance metrics. Systematic analysis reveals that a five-layer BP configuration optimally enhances electromagnetic field confinement, yielding a sensitivity exceeding 500°/RIU and a quality factor above 140, significantly surpassing conventional SPR designs. The proposed design leverages the cost-effectiveness of Cu as an alternative to precious metals and the advanced optical properties of BP, establishing a superior diagnostic tool for precise, real-time glucose monitoring. This research lays a foundation for next-generation biosensors, offering high sensitivity, reduced costs, and versatile applications in healthcare diagnostics.