Mathematical modeling of a MoSe₂-based SPR biosensor for detecting SARS-CoV-2 at nM concentrations DOI Creative Commons
Talía Tene,

Nataly Bonilla García,

Jéssica Alexandra Marcatoma Tixi

et al.

Frontiers in Bioengineering and Biotechnology, Journal Year: 2025, Volume and Issue: 13

Published: Feb. 28, 2025

The rapid and accurate detection of SARS-CoV-2 remains a critical challenge in biosensing technology, necessitating the development highly sensitive selective platforms. In this study, we present mathematical modeling approach to optimize MoSe₂-based Surface Plasmon Resonance (SPR) biosensor for detecting novel coronavirus at nM scale. Using Transfer Matrix Method (TMM), systematically biosensor’s structural parameters, including silver (Ag), silicon nitride (Si₃N₄), molybdenum diselenide (MoSe₂), thiol-tethered single-stranded DNA (ssDNA) layers, enhance sensitivity, accuracy, optical performance. results indicate that an optimized 45 nm Ag layer, 10 Si₃N₄ monolayer MoSe₂ configuration achieves resonance shift (Δθ) 0.3° 100 nM, with sensitivity 197.70°/RIU accuracy 5.24 × 10⁻ 2 . Additionally, incorporation ssDNA functionalization layer significantly enhances molecular recognition, lowering limit (LoD) 2.53 5 improving overall efficiency. Sys₅ (MoSe₂ + ssDNA) outperforms Sys₄ without terms specificity reliability, making it more suitable practical applications. These findings establish SPR as promising candidate detection, offering balance between high stability, selectivity, crucial effective viral diagnostics.

Language: Английский

The Effect of MoS2 and Si3N4 in Surface Plasmon Resonance Biosensors for HIV DNA Hybridization Detection: A Numerical Study DOI Creative Commons
Talía Tene, Diana Coello-Fiallos,

María de Lourdes Palacios Robalino

et al.

Micromachines, Journal Year: 2025, Volume and Issue: 16(3), P. 295 - 295

Published: Feb. 28, 2025

This study presents a numerical investigation of surface plasmon resonance (SPR) biosensors incorporating silicon nitride (Si3N4) and molybdenum disulfide (MoS2) for HIV DNA hybridization detection. By optimizing the thickness Ag Si3N4 number MoS2 layers, two configurations, Sys2 (Ag-Si3N4) Sys3 (Ag-Si3N4-MoS2), were selected comparative analysis. Performance metrics, including angle shift, sensitivity, detection accuracy, quality factor, demonstrated that achieved highest sensitivity 210.9°/RIU an enhanced figure merit (86.98 RIU−1), surpassing state-of-the-art SPR sensors. Although exhibited lower 158.1°/RIU due to MoS2-induced optical losses, it provided limit detection, suggesting trade-off between spectral broadening. Compared previous biosensors, proposed configurations achieve superior while maintaining stability selectivity, positioning them as promising candidates next-generation nucleic acid platforms.

Language: Английский

Citations

2
Mathematical modeling of a MoSe₂-based SPR biosensor for detecting SARS-CoV-2 at nM concentrations DOI Creative Commons
Talía Tene,

Nataly Bonilla García,

Jéssica Alexandra Marcatoma Tixi

et al.

Frontiers in Bioengineering and Biotechnology, Journal Year: 2025, Volume and Issue: 13

Published: Feb. 28, 2025

The rapid and accurate detection of SARS-CoV-2 remains a critical challenge in biosensing technology, necessitating the development highly sensitive selective platforms. In this study, we present mathematical modeling approach to optimize MoSe₂-based Surface Plasmon Resonance (SPR) biosensor for detecting novel coronavirus at nM scale. Using Transfer Matrix Method (TMM), systematically biosensor’s structural parameters, including silver (Ag), silicon nitride (Si₃N₄), molybdenum diselenide (MoSe₂), thiol-tethered single-stranded DNA (ssDNA) layers, enhance sensitivity, accuracy, optical performance. results indicate that an optimized 45 nm Ag layer, 10 Si₃N₄ monolayer MoSe₂ configuration achieves resonance shift (Δθ) 0.3° 100 nM, with sensitivity 197.70°/RIU accuracy 5.24 × 10⁻ 2 . Additionally, incorporation ssDNA functionalization layer significantly enhances molecular recognition, lowering limit (LoD) 2.53 5 improving overall efficiency. Sys₅ (MoSe₂ + ssDNA) outperforms Sys₄ without terms specificity reliability, making it more suitable practical applications. These findings establish SPR as promising candidate detection, offering balance between high stability, selectivity, crucial effective viral diagnostics.

Language: Английский

Citations

1