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<p>This work presents a highly sensitive biosensor that combines magnesium monoxide (MgO), silver (Ag), barium titanate (BaTiO<sub>3</sub>), and black phosphorus (BP) using surface plasmon resonance (SPR) technology for the detection of <i>Mycobacterium tuberculosis</i> (MTB). A comparative analysis is conducted to evaluate the sensitivity of the proposed biosensor in detecting tuberculosis (TB) cells against normal blood samples (NBS) relative to conventional sensor structures. The SPR structure is optimized by varying thicknesses of MgO, Ag, and BaTiO<sub>3</sub> layers to measure the performance parameters. The sensitivities of conventional sensors are 309.68°/RIU, 312.76°/RIU, 371.13°/RIU, and 424.41°/RIU for structures I–IV, respectively. In contrast, the proposed biosensor (structure-V) achieves significantly improved sensitivity values of 551.18°/RIU, 537°/RIU, 505.63°/RIU, and 476°/RIU for various sensing mediums (NBS, TB1, TB2, TB3, and TB4) at optimized layer thicknesses of 10&#xa0;nm for MgO, 30&#xa0;nm for Ag, 1.5&#xa0;nm for BaTiO<sub>3</sub>, and a monolayer for BP. The results demonstrate that the proposed biosensor exhibits superior sensitivity, making it a potential candidate for detecting a wide range of biological analytes.</p>

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Mycobacterium Tuberculosis Detection Using Surface Plasmon Resonance Sensor for High Sensitivity: Numerical Analysis

  • 期刊论文

  • 发表日期：

    2025年3月25日

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  • Rajeev Kumar,
  • Rachana Arya,
  • Mayank,
  • Shivam Singh

摘要

This work presents a highly sensitive biosensor that combines magnesium monoxide (MgO), silver (Ag), barium titanate (BaTiO3), and black phosphorus (BP) using surface plasmon resonance (SPR) technology for the detection of Mycobacterium tuberculosis (MTB). A comparative analysis is conducted to evaluate the sensitivity of the proposed biosensor in detecting tuberculosis (TB) cells against normal blood samples (NBS) relative to conventional sensor structures. The SPR structure is optimized by varying thicknesses of MgO, Ag, and BaTiO3 layers to measure the performance parameters. The sensitivities of conventional sensors are 309.68°/RIU, 312.76°/RIU, 371.13°/RIU, and 424.41°/RIU for structures I–IV, respectively. In contrast, the proposed biosensor (structure-V) achieves significantly improved sensitivity values of 551.18°/RIU, 537°/RIU, 505.63°/RIU, and 476°/RIU for various sensing mediums (NBS, TB1, TB2, TB3, and TB4) at optimized layer thicknesses of 10 nm for MgO, 30 nm for Ag, 1.5 nm for BaTiO3, and a monolayer for BP. The results demonstrate that the proposed biosensor exhibits superior sensitivity, making it a potential candidate for detecting a wide range of biological analytes.