<p>This study presents an SPR-based biosensor designed to effectively detect Mycobacterium tuberculosis, leveraging 2D materials and a Kretschmann configuration, with all analyses and performance evaluations conducted through comprehensive simulation studies. The biosensor utilizes a CaF<sub>2</sub> prism, niobium pentoxide (Nb<sub>2</sub>O<sub>5</sub>), silver (Ag), ferric oxide (Fe<sub>2</sub>O<sub>3</sub>), and black phosphorus (BP). The work concentrates on the design and optimization of the SPR structure to obtain an exceptionally high detection sensitivity for mycobacterium tuberculosis (MTB). Strong plasmonic characteristics are provided by the combination of Ag and Fe<sub>2</sub>O<sub>3</sub>, and sensitivity is greatly increased by the BP-tunable bandgap and improved light–matter interactions. By facilitating surface functionalization and improving chemical stability, Nb<sub>2</sub>O<sub>5</sub> makes the sensor reliable for practical uses. The primary modeling approach was the transfer matrix method (TMM) and finite element method (FEM) was employed to verify the simulation results in order to further validate the design. A maximal sensitivity of 622.33 (deg./RIU) was achieved by fine adjusting the thickness of the Nb<sub>2</sub>O<sub>5</sub>, Ag, Fe<sub>2</sub>O<sub>3</sub>, and BP layers in order to optimize the sensing structure. The sensor’s impressive QF of 142.02 (RIU<sup>−1</sup>), high FOM of 140.09, and narrow FWHM of 4.382 (deg.) suggest strong resolution and detection precision. Moreover, the biosensor exhibited a consistent ability to detect refractive index (RI) fluctuations within the biologically pertinent range of 1.343–1.3551. Superior angular sensitivity and improved optical performance are demonstrated by the proposed structure in comparison with existing SPR biosensor configurations. These findings suggest that the proposed SPR sensor could be an effective and rapid tool for point-of-care testing&#xa0;for&#xa0;TB.</p> Graphical Abstract <p></p>

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Niobium pentoxide and black phosphorus based multilayer surface plasmon resonance biosensor for the detection of ultra-sensitive mycobacterium tuberculosis

  • Maymona Binte Juwel,
  • Md. Al Amin Islam Utshob,
  • Ahmed Rayhan,
  • Safayat-Al Imam,
  • Aminur Rahman,
  • Khandakar Mohammad Ishtiak

摘要

This study presents an SPR-based biosensor designed to effectively detect Mycobacterium tuberculosis, leveraging 2D materials and a Kretschmann configuration, with all analyses and performance evaluations conducted through comprehensive simulation studies. The biosensor utilizes a CaF2 prism, niobium pentoxide (Nb2O5), silver (Ag), ferric oxide (Fe2O3), and black phosphorus (BP). The work concentrates on the design and optimization of the SPR structure to obtain an exceptionally high detection sensitivity for mycobacterium tuberculosis (MTB). Strong plasmonic characteristics are provided by the combination of Ag and Fe2O3, and sensitivity is greatly increased by the BP-tunable bandgap and improved light–matter interactions. By facilitating surface functionalization and improving chemical stability, Nb2O5 makes the sensor reliable for practical uses. The primary modeling approach was the transfer matrix method (TMM) and finite element method (FEM) was employed to verify the simulation results in order to further validate the design. A maximal sensitivity of 622.33 (deg./RIU) was achieved by fine adjusting the thickness of the Nb2O5, Ag, Fe2O3, and BP layers in order to optimize the sensing structure. The sensor’s impressive QF of 142.02 (RIU−1), high FOM of 140.09, and narrow FWHM of 4.382 (deg.) suggest strong resolution and detection precision. Moreover, the biosensor exhibited a consistent ability to detect refractive index (RI) fluctuations within the biologically pertinent range of 1.343–1.3551. Superior angular sensitivity and improved optical performance are demonstrated by the proposed structure in comparison with existing SPR biosensor configurations. These findings suggest that the proposed SPR sensor could be an effective and rapid tool for point-of-care testing for TB.

Graphical Abstract