MoS2-based biosensor for SARS-CoV-2 detection: a numerical approach
Surface plasmon resonance (SPR) biosensors are powerful tools for highly sensitive and specific detection of biomolecules. This study introduces a MoS₂-based SPR biosensor optimized for SARS-CoV-2 detection. The sensor integrates a multilayer configuration, including a BK7 prism, Ag film (45 nm), S₃...
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Frontiers Media S.A.
2025-01-01
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| Series: | Frontiers in Nanotechnology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fnano.2024.1505751/full |
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| author | Talia Tene Gabriela Tubon-Usca Katherine Tixi Gallegos María José Mendoza Salazar Cristian Vacacela Gomez |
| author_facet | Talia Tene Gabriela Tubon-Usca Katherine Tixi Gallegos María José Mendoza Salazar Cristian Vacacela Gomez |
| author_sort | Talia Tene |
| collection | DOAJ |
| description | Surface plasmon resonance (SPR) biosensors are powerful tools for highly sensitive and specific detection of biomolecules. This study introduces a MoS₂-based SPR biosensor optimized for SARS-CoV-2 detection. The sensor integrates a multilayer configuration, including a BK7 prism, Ag film (45 nm), S₃N₄ layer (13 nm), MoS₂ monolayer (0.65 nm), and functionalized ssDNA layer (5 nm). Systematic optimization of each layer improved plasmonic coupling, propagation, and specificity, achieving a balance between sensitivity, resolution, and efficiency. The optimized biosensor was evaluated across virus concentrations ranging from 0.01 to 150 mM. The proposed biosensor demonstrated excellent performance at moderate to high concentrations, with sensitivity up to 261.33°/RIU, a quality factor of 36.16 RIU−1, and a limit of detection of 1.91 × 10−5. An optimal figure of merit of 405.50 RIU−1 was achieved at 10 mM, highlighting the sensor’s diagnostic potential. However, challenges remain at very low concentrations (0.01–0.1 mM), where angular shifts, sensitivity, and signal-to-noise ratio were negligible. |
| format | Article |
| id | doaj-art-220999442e3b4a0393b5c90981bc5e3a |
| institution | Kabale University |
| issn | 2673-3013 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Nanotechnology |
| spelling | doaj-art-220999442e3b4a0393b5c90981bc5e3a2025-01-07T06:40:44ZengFrontiers Media S.A.Frontiers in Nanotechnology2673-30132025-01-01610.3389/fnano.2024.15057511505751MoS2-based biosensor for SARS-CoV-2 detection: a numerical approachTalia Tene0Gabriela Tubon-Usca1Katherine Tixi Gallegos2María José Mendoza Salazar3Cristian Vacacela Gomez4Department of Chemistry, Universidad Técnica Particular de Loja, Loja, EcuadorGrupo de Investigación en Materiales Avanzados (GIMA), Facultad de Ciencias, Escuela Superior Politécnica de Chimborazo (ESPOCH), Riobamba, EcuadorCarrera de Ingeniería Química, Facultad de Ciencias, Escuela Superior Politécnica de Chimborazo (ESPOCH), Riobamba, EcuadorFacultad de Ciencias, Grupo de Investigación CIDED, Escuela Superior Politécnica de Chimborazo (ESPOCH), Riobamba, EcuadorINFN-Laboratori Nazionali di Frascati, Frascati, ItalySurface plasmon resonance (SPR) biosensors are powerful tools for highly sensitive and specific detection of biomolecules. This study introduces a MoS₂-based SPR biosensor optimized for SARS-CoV-2 detection. The sensor integrates a multilayer configuration, including a BK7 prism, Ag film (45 nm), S₃N₄ layer (13 nm), MoS₂ monolayer (0.65 nm), and functionalized ssDNA layer (5 nm). Systematic optimization of each layer improved plasmonic coupling, propagation, and specificity, achieving a balance between sensitivity, resolution, and efficiency. The optimized biosensor was evaluated across virus concentrations ranging from 0.01 to 150 mM. The proposed biosensor demonstrated excellent performance at moderate to high concentrations, with sensitivity up to 261.33°/RIU, a quality factor of 36.16 RIU−1, and a limit of detection of 1.91 × 10−5. An optimal figure of merit of 405.50 RIU−1 was achieved at 10 mM, highlighting the sensor’s diagnostic potential. However, challenges remain at very low concentrations (0.01–0.1 mM), where angular shifts, sensitivity, and signal-to-noise ratio were negligible.https://www.frontiersin.org/articles/10.3389/fnano.2024.1505751/fullsurface plasmon resonanceMoS2silicon nitriteSARS-CoV-2biosensor |
| spellingShingle | Talia Tene Gabriela Tubon-Usca Katherine Tixi Gallegos María José Mendoza Salazar Cristian Vacacela Gomez MoS2-based biosensor for SARS-CoV-2 detection: a numerical approach Frontiers in Nanotechnology surface plasmon resonance MoS2 silicon nitrite SARS-CoV-2 biosensor |
| title | MoS2-based biosensor for SARS-CoV-2 detection: a numerical approach |
| title_full | MoS2-based biosensor for SARS-CoV-2 detection: a numerical approach |
| title_fullStr | MoS2-based biosensor for SARS-CoV-2 detection: a numerical approach |
| title_full_unstemmed | MoS2-based biosensor for SARS-CoV-2 detection: a numerical approach |
| title_short | MoS2-based biosensor for SARS-CoV-2 detection: a numerical approach |
| title_sort | mos2 based biosensor for sars cov 2 detection a numerical approach |
| topic | surface plasmon resonance MoS2 silicon nitrite SARS-CoV-2 biosensor |
| url | https://www.frontiersin.org/articles/10.3389/fnano.2024.1505751/full |
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