Black Phosphorous-Based Surface Plasmon Resonance Biosensor for Malaria Diagnosis
This study presents a black phosphorus-based surface plasmon resonance (SPR) biosensor for malaria detection, integrating silicon nitride (Si<sub>3</sub>N<sub>4</sub>) and single-stranded DNA (ssDNA) to enhance sensitivity and molecular recognition. The biosensor configuratio...
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| Language: | English |
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MDPI AG
2025-03-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/25/7/2068 |
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| author | Talia Tene Yesenia Cevallos Paola Gabriela Vinueza-Naranjo Deysi Inca Cristian Vacacela Gomez |
| author_facet | Talia Tene Yesenia Cevallos Paola Gabriela Vinueza-Naranjo Deysi Inca Cristian Vacacela Gomez |
| author_sort | Talia Tene |
| collection | DOAJ |
| description | This study presents a black phosphorus-based surface plasmon resonance (SPR) biosensor for malaria detection, integrating silicon nitride (Si<sub>3</sub>N<sub>4</sub>) and single-stranded DNA (ssDNA) to enhance sensitivity and molecular recognition. The biosensor configurations were optimized through numerical simulations, evaluating metal thickness, dielectric layer thickness, and the number of black phosphorus layers to achieve maximum performance. The optimized system (Opt-Sys<sub>4</sub>) exhibited high sensitivity (464.4°/RIU for early-stage malaria) and improved detection accuracy, outperforming conventional SPR sensors. Performance was assessed across malaria progression stages, demonstrating a clear resonance shift, increased attenuation, and enhanced biomolecular interactions. Key metrics, including the figure of merit, limit of detection, and comprehensive sensitivity factor, confirmed the sensor’s superior performance. Comparative analysis against state-of-the-art SPR biosensors further validated their capability for highly sensitive and specific malaria detection. These findings establish a promising plasmonic biosensing platform for early malaria diagnosis, potentially improving disease management in resource-limited settings. |
| format | Article |
| id | doaj-art-0c8e095075a941c48f305ad14dc043ed |
| institution | OA Journals |
| issn | 1424-8220 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj-art-0c8e095075a941c48f305ad14dc043ed2025-08-20T02:15:46ZengMDPI AGSensors1424-82202025-03-01257206810.3390/s25072068Black Phosphorous-Based Surface Plasmon Resonance Biosensor for Malaria DiagnosisTalia Tene0Yesenia Cevallos1Paola Gabriela Vinueza-Naranjo2Deysi Inca3Cristian Vacacela Gomez4Department of Chemistry, Universidad Técnica Particular de Loja, Loja 110160, EcuadorUniversidad San Francisco de Quito IMNE, Diego de Robles s/n, Cumbayá, Quito 170901, EcuadorCollege of Engineering, Universidad Nacional de Chimborazo, Riobamba 060108, EcuadorCollege of Engineering, Universidad Nacional de Chimborazo, Riobamba 060108, EcuadorINFN-Laboratori Nazionali di Frascati, Via E. Fermi 54, 00044 Frascati, ItalyThis study presents a black phosphorus-based surface plasmon resonance (SPR) biosensor for malaria detection, integrating silicon nitride (Si<sub>3</sub>N<sub>4</sub>) and single-stranded DNA (ssDNA) to enhance sensitivity and molecular recognition. The biosensor configurations were optimized through numerical simulations, evaluating metal thickness, dielectric layer thickness, and the number of black phosphorus layers to achieve maximum performance. The optimized system (Opt-Sys<sub>4</sub>) exhibited high sensitivity (464.4°/RIU for early-stage malaria) and improved detection accuracy, outperforming conventional SPR sensors. Performance was assessed across malaria progression stages, demonstrating a clear resonance shift, increased attenuation, and enhanced biomolecular interactions. Key metrics, including the figure of merit, limit of detection, and comprehensive sensitivity factor, confirmed the sensor’s superior performance. Comparative analysis against state-of-the-art SPR biosensors further validated their capability for highly sensitive and specific malaria detection. These findings establish a promising plasmonic biosensing platform for early malaria diagnosis, potentially improving disease management in resource-limited settings.https://www.mdpi.com/1424-8220/25/7/2068surface plasmon resonanceKretschmann configurationtransfer matrix methodsilicon nitrideblack phosphorousbiosensors |
| spellingShingle | Talia Tene Yesenia Cevallos Paola Gabriela Vinueza-Naranjo Deysi Inca Cristian Vacacela Gomez Black Phosphorous-Based Surface Plasmon Resonance Biosensor for Malaria Diagnosis Sensors surface plasmon resonance Kretschmann configuration transfer matrix method silicon nitride black phosphorous biosensors |
| title | Black Phosphorous-Based Surface Plasmon Resonance Biosensor for Malaria Diagnosis |
| title_full | Black Phosphorous-Based Surface Plasmon Resonance Biosensor for Malaria Diagnosis |
| title_fullStr | Black Phosphorous-Based Surface Plasmon Resonance Biosensor for Malaria Diagnosis |
| title_full_unstemmed | Black Phosphorous-Based Surface Plasmon Resonance Biosensor for Malaria Diagnosis |
| title_short | Black Phosphorous-Based Surface Plasmon Resonance Biosensor for Malaria Diagnosis |
| title_sort | black phosphorous based surface plasmon resonance biosensor for malaria diagnosis |
| topic | surface plasmon resonance Kretschmann configuration transfer matrix method silicon nitride black phosphorous biosensors |
| url | https://www.mdpi.com/1424-8220/25/7/2068 |
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