Article ; Online: SARS-CoV-2 Detection Using Colorimetric Plasmonic Sensors: A Proof-of-Concept Computational Study.
IEEE transactions on nanobioscience
2022 Volume 22, Issue 1, Page(s) 71–77
Abstract: Traditional molecular techniques for SARS-CoV-2 viral detection are time-consuming and can exhibit a high probability of false negatives. In this work, we present a computational study of SARS-CoV-2 detection using plasmonic gold nanoparticles. The ... ...
Abstract | Traditional molecular techniques for SARS-CoV-2 viral detection are time-consuming and can exhibit a high probability of false negatives. In this work, we present a computational study of SARS-CoV-2 detection using plasmonic gold nanoparticles. The resonance wavelength of a SARS-CoV-2 virus was recently estimated to be in the near-infrared region. By engineering gold nanospheres to specifically bind with the outer surface of the SARS-CoV-2 virus, the resonance frequency can be shifted to the visible range (380 nm-700 nm). Moreover, we show that broadband absorption will emerge in the visible spectrum when the virus is partially covered with gold nanoparticles at a specific coverage percentage. This broadband absorption can be used to guide the development of an efficient and accurate colorimetric plasmon sensor for COVID-19 detection. Our observation also suggests that this technique is unaffected by the number of protein spikes present on the virus outer surface, hence can pave a potential path for a label-free COVID-19 diagnostic tool independent of the number of protein spikes. |
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MeSH term(s) | Humans ; SARS-CoV-2 ; COVID-19/diagnosis ; Surface Plasmon Resonance/methods ; Gold ; Colorimetry/methods ; Metal Nanoparticles ; Biosensing Techniques/methods |
Chemical Substances | Gold (7440-57-5) |
Language | English |
Publishing date | 2022-12-29 |
Publishing country | United States |
Document type | Journal Article ; Research Support, Non-U.S. Gov't |
ISSN | 1558-2639 |
ISSN (online) | 1558-2639 |
DOI | 10.1109/TNB.2022.3156077 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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