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<p>Skin cancer, particularly malignant melanoma, poses a major health threat globally, necessitating early and accurate detection techniques. This study presents the design and simulation of a multilayered surface plasmon resonance (SPR) biosensor based on the Kretschmann configuration for identifying melanoma, fibroblast, and adipose cancer cell lines. A multilayer stack of Au/Si/WS₂/Antimonene is used to boost plasmonic sensitivity and ensure specific biomolecular binding. Using the transfer matrix method and MATLAB simulations, resonance angle shifts are analyzed in response to refractive index variations among cell types. The sensor demonstrates high sensitivity values of 167, 174, and 193°/RIU, and a figure of merit (FoM) ranging from 47 to 50 RIU⁻<sup>1</sup>. Additionally, the implementation of a long-range SPR design improves penetration depth and reduces FWHM, leading to enhanced detection accuracy. These results confirm the potential of the proposed biosensor as a robust, label-free platform for early skin cancer diagnostics.</p>

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Skin Cancer Cell Lines Detection in Human Blood Using Surface Plasmon Resonance Sensing Technique

  • 期刊论文

  • 发表日期：

    2025年7月21日

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  • Akash Srivastava,
  • Devendra Chack

摘要

Skin cancer, particularly malignant melanoma, poses a major health threat globally, necessitating early and accurate detection techniques. This study presents the design and simulation of a multilayered surface plasmon resonance (SPR) biosensor based on the Kretschmann configuration for identifying melanoma, fibroblast, and adipose cancer cell lines. A multilayer stack of Au/Si/WS₂/Antimonene is used to boost plasmonic sensitivity and ensure specific biomolecular binding. Using the transfer matrix method and MATLAB simulations, resonance angle shifts are analyzed in response to refractive index variations among cell types. The sensor demonstrates high sensitivity values of 167, 174, and 193°/RIU, and a figure of merit (FoM) ranging from 47 to 50 RIU⁻1. Additionally, the implementation of a long-range SPR design improves penetration depth and reduces FWHM, leading to enhanced detection accuracy. These results confirm the potential of the proposed biosensor as a robust, label-free platform for early skin cancer diagnostics.