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<p>Breast cancer remains a leading cause of cancer-related mortality worldwide, highlighting the urgent need for early and precise diagnostic methods. Early detection, facilitated by sensitive biosensors targeting cancer biomarkers, significantly enhances patient outcomes. This study presents a novel surface plasmon resonance (SPR) biosensor designed for the highly sensitive detection of breast cancer cells. The biosensor features a unique ‘sandwich-like’ architecture, with the analyte positioned between two symmetrical layers of BlueP/WS<sub>2</sub>, supported by a multilayer structure comprising a BK7 prism, copper layer, nickel layer, and MXene layer. The optical properties and performance of the biosensor were rigorously analyzed using the transfer matrix method (TMM), which models light interaction with multilayer structures. Optimization of layer thicknesses and materials resulted in a biosensor capable of detecting MDA-MB-231 cells with a sensitivity of 300.96 °/RIU and MCF-7 cells with a sensitivity of 308.44 °/RIU. The respective figures of merit (FOMs) were 44.13 RIU<sup>− 1</sup> and 45.83 RIU<sup>− 1</sup>, underscoring the superior performance of our design. The integration of BlueP/WS<sub>2</sub> within the sensing region, alongside the strategically engineered multilayer structure, offers significant advancements in sensitivity and selectivity over conventional SPR sensors. This work presents a promising platform for next-generation diagnostic tools aimed at early breast cancer detection, with the potential for improved clinical outcomes.</p>

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Numerical modeling of advancing breast cancer diagnostics: a high-sensitivity spr biosensor incorporating MXene and BlueP/WS2 nanostructures

  • 期刊论文

  • 发表日期：

    2026年4月29日

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  • Milad Razmpoosh,
  • Ali Mohammadpour,
  • Abolfazl Jangjoy

摘要

Breast cancer remains a leading cause of cancer-related mortality worldwide, highlighting the urgent need for early and precise diagnostic methods. Early detection, facilitated by sensitive biosensors targeting cancer biomarkers, significantly enhances patient outcomes. This study presents a novel surface plasmon resonance (SPR) biosensor designed for the highly sensitive detection of breast cancer cells. The biosensor features a unique ‘sandwich-like’ architecture, with the analyte positioned between two symmetrical layers of BlueP/WS2, supported by a multilayer structure comprising a BK7 prism, copper layer, nickel layer, and MXene layer. The optical properties and performance of the biosensor were rigorously analyzed using the transfer matrix method (TMM), which models light interaction with multilayer structures. Optimization of layer thicknesses and materials resulted in a biosensor capable of detecting MDA-MB-231 cells with a sensitivity of 300.96 °/RIU and MCF-7 cells with a sensitivity of 308.44 °/RIU. The respective figures of merit (FOMs) were 44.13 RIU− 1 and 45.83 RIU− 1, underscoring the superior performance of our design. The integration of BlueP/WS2 within the sensing region, alongside the strategically engineered multilayer structure, offers significant advancements in sensitivity and selectivity over conventional SPR sensors. This work presents a promising platform for next-generation diagnostic tools aimed at early breast cancer detection, with the potential for improved clinical outcomes.