WS<sub>2</sub>/Si<sub>3</sub>N<sub>4</sub>-Based Biosensor for Low-Concentration Coronavirus Detection
This study presents the optimization of two SPR biosensors, Sys<sub>3</sub> and Sys<sub>5</sub>, for SARS-CoV-2 detection at concentrations of 0.01–100 nM. Sys<sub>3</sub>, with a 55 nm silver layer, a 13 nm silicon nitride layer, and a 10 nm ssDNA layer, achieved...
Saved in:
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-01-01
|
| Series: | Micromachines |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-666X/16/2/128 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850229909120614400 |
|---|---|
| author | Talia Tene Fabian Arias Arias Karina I. Paredes-Páliz Ana M. Cunachi Pillajo Ana Gabriela Flores Huilcapi Luis Santiago Carrera Almendariz Stefano Bellucci |
| author_facet | Talia Tene Fabian Arias Arias Karina I. Paredes-Páliz Ana M. Cunachi Pillajo Ana Gabriela Flores Huilcapi Luis Santiago Carrera Almendariz Stefano Bellucci |
| author_sort | Talia Tene |
| collection | DOAJ |
| description | This study presents the optimization of two SPR biosensors, Sys<sub>3</sub> and Sys<sub>5</sub>, for SARS-CoV-2 detection at concentrations of 0.01–100 nM. Sys<sub>3</sub>, with a 55 nm silver layer, a 13 nm silicon nitride layer, and a 10 nm ssDNA layer, achieved a figure of merit (FoM) of 571.24 RIU<sup>−1</sup>, a signal-to-noise ratio (SNR) of 0.12, and a detection accuracy (DA) of 48.93 × 10<sup>−2</sup>. Sys<sub>5</sub>, incorporating a 50 nm silver layer, a 10 nm silicon nitride layer, a 10 nm ssDNA layer, and a 1.6 nm tungsten disulfide layer (L = 2), demonstrated a higher sensitivity of 305.33 °/RIU and a lower limit of detection (LoD) of 1.65 × 10<sup>−5</sup>. Sys<sub>3</sub> outshined in precision with low attenuation (<1%), while Sys<sub>5</sub> provided enhanced sensitivity and lower detection limits, crucial for early-stage viral detection. These configurations align with the refractive index ranges of clinical SARS-CoV-2 samples, showcasing their diagnostic potential. Future work will focus on experimental validation and integration into point-of-care platforms. |
| format | Article |
| id | doaj-art-e1a5341b47534e08b62bf04de72be9e0 |
| institution | OA Journals |
| issn | 2072-666X |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Micromachines |
| spelling | doaj-art-e1a5341b47534e08b62bf04de72be9e02025-08-20T02:04:02ZengMDPI AGMicromachines2072-666X2025-01-0116212810.3390/mi16020128WS<sub>2</sub>/Si<sub>3</sub>N<sub>4</sub>-Based Biosensor for Low-Concentration Coronavirus DetectionTalia Tene0Fabian Arias Arias1Karina I. Paredes-Páliz2Ana M. Cunachi Pillajo3Ana Gabriela Flores Huilcapi4Luis Santiago Carrera Almendariz5Stefano Bellucci6Department of Chemistry, Universidad Técnica Particular de Loja, Loja 110160, EcuadorDipartimento di Chimica e Tecnologie Chimiche, University of Calabria, Via P. Bucci, Cubo 15D, 87036 Rende, ItalyGrupo de Investigación en Salud Pública, Facultad de Ciencias de la Salud, Universidad Nacional de Chimborazo, Riobamba 060108, EcuadorLaboratorio Ciencias Biológicas, Facultad Recursos Naturales, Escuela Superior Politécnica de Chimborazo (ESPOCH), Riobamba 060155, EcuadorDipartimento di Chimica e Tecnologie Chimiche, University of Calabria, Via P. Bucci, Cubo 15D, 87036 Rende, ItalyFacultad de Ciencias, Escuela Superior Politécnica de Chimborazo (ESPOCH), Riobamba 060155, EcuadorINFN-Laboratori Nazionali di Frascati, Via E. Fermi 54, 00044 Frascati, ItalyThis study presents the optimization of two SPR biosensors, Sys<sub>3</sub> and Sys<sub>5</sub>, for SARS-CoV-2 detection at concentrations of 0.01–100 nM. Sys<sub>3</sub>, with a 55 nm silver layer, a 13 nm silicon nitride layer, and a 10 nm ssDNA layer, achieved a figure of merit (FoM) of 571.24 RIU<sup>−1</sup>, a signal-to-noise ratio (SNR) of 0.12, and a detection accuracy (DA) of 48.93 × 10<sup>−2</sup>. Sys<sub>5</sub>, incorporating a 50 nm silver layer, a 10 nm silicon nitride layer, a 10 nm ssDNA layer, and a 1.6 nm tungsten disulfide layer (L = 2), demonstrated a higher sensitivity of 305.33 °/RIU and a lower limit of detection (LoD) of 1.65 × 10<sup>−5</sup>. Sys<sub>3</sub> outshined in precision with low attenuation (<1%), while Sys<sub>5</sub> provided enhanced sensitivity and lower detection limits, crucial for early-stage viral detection. These configurations align with the refractive index ranges of clinical SARS-CoV-2 samples, showcasing their diagnostic potential. Future work will focus on experimental validation and integration into point-of-care platforms.https://www.mdpi.com/2072-666X/16/2/128surface plasmon resonancetungsten disulfidesilicon nitridessDNASARS-CoV-2biosensor |
| spellingShingle | Talia Tene Fabian Arias Arias Karina I. Paredes-Páliz Ana M. Cunachi Pillajo Ana Gabriela Flores Huilcapi Luis Santiago Carrera Almendariz Stefano Bellucci WS<sub>2</sub>/Si<sub>3</sub>N<sub>4</sub>-Based Biosensor for Low-Concentration Coronavirus Detection Micromachines surface plasmon resonance tungsten disulfide silicon nitride ssDNA SARS-CoV-2 biosensor |
| title | WS<sub>2</sub>/Si<sub>3</sub>N<sub>4</sub>-Based Biosensor for Low-Concentration Coronavirus Detection |
| title_full | WS<sub>2</sub>/Si<sub>3</sub>N<sub>4</sub>-Based Biosensor for Low-Concentration Coronavirus Detection |
| title_fullStr | WS<sub>2</sub>/Si<sub>3</sub>N<sub>4</sub>-Based Biosensor for Low-Concentration Coronavirus Detection |
| title_full_unstemmed | WS<sub>2</sub>/Si<sub>3</sub>N<sub>4</sub>-Based Biosensor for Low-Concentration Coronavirus Detection |
| title_short | WS<sub>2</sub>/Si<sub>3</sub>N<sub>4</sub>-Based Biosensor for Low-Concentration Coronavirus Detection |
| title_sort | ws sub 2 sub si sub 3 sub n sub 4 sub based biosensor for low concentration coronavirus detection |
| topic | surface plasmon resonance tungsten disulfide silicon nitride ssDNA SARS-CoV-2 biosensor |
| url | https://www.mdpi.com/2072-666X/16/2/128 |
| work_keys_str_mv | AT taliatene wssub2subsisub3subnsub4subbasedbiosensorforlowconcentrationcoronavirusdetection AT fabianariasarias wssub2subsisub3subnsub4subbasedbiosensorforlowconcentrationcoronavirusdetection AT karinaiparedespaliz wssub2subsisub3subnsub4subbasedbiosensorforlowconcentrationcoronavirusdetection AT anamcunachipillajo wssub2subsisub3subnsub4subbasedbiosensorforlowconcentrationcoronavirusdetection AT anagabrielafloreshuilcapi wssub2subsisub3subnsub4subbasedbiosensorforlowconcentrationcoronavirusdetection AT luissantiagocarreraalmendariz wssub2subsisub3subnsub4subbasedbiosensorforlowconcentrationcoronavirusdetection AT stefanobellucci wssub2subsisub3subnsub4subbasedbiosensorforlowconcentrationcoronavirusdetection |