The DOI matches its Crossref record; 24 of the 24 references it cites were found in a registry or an index.
Potent antiviral effect of silver nanoparticles on SARS-CoV-2
Open accessAbstract
The pandemic of COVID-19 is spreading unchecked due to the lack of effective antiviral measures. Silver nanoparticles (AgNP) have been studied to possess antiviral properties and are presumed to inhibit SARS-CoV-2. Due to the need for an effective agent against SARS-CoV-2, we evaluated the antiviral effect of AgNPs. We evaluated a plethora of AgNPs of different sizes and concentration and observed that particles of diameter around 10 nm were effective in inhibiting extracellular SARS-CoV-2 at concentrations ranging between 1 and 10 ppm while cytotoxic effect was observed at concentrations of 20 ppm and above. Luciferase-based pseudovirus entry assay revealed that AgNPs potently inhibited viral entry step via disrupting viral integrity. These results indicate that AgNPs are highly potent microbicides against SARS-CoV-2 but should be used with caution due to their cytotoxic effects and their potential to derange environmental ecosystems when improperly disposed.
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Cites
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Interaction of silver nanoparticles with HIV-1
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Cited by
Huang, Y., Guo, X., Wu, Y., Chen, X., Feng, L., Xie, N., & Shen, G. (2024) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-024-01745-z · Cited by 490
Antimicrobial textile: recent developments and functional perspective
Gulati, R., Sharma, S., & Sharma, R. K. (2022) · Polymer Bulletin · doi:10.1007/s00289-021-03826-3 · Cited by 328
Almanza-Reyes, H., Moreno, S., Plascencia-López, I., Alvarado-Vera, M., Patrón-Romero, L., Borrego, B., Reyes-Escamilla, A., Valencia-Manzo, D., Brun, A., Pestryakov, A., et al. (2021) · PLOS ONE · doi:10.1371/journal.pone.0256401 · Cited by 102
Metadata
- Authors
- Jeremiah, S. S., Miyakawa, K., Morita, T., Yamaoka, Y., & Ryo, A.
- Venue
- Biochemical and Biophysical Research Communications
- Publisher
- Elsevier BV
- Published
- 2020-11
- Volume
- 533
- Issue
- 1
- Pages
- 195-200
- ISSN
- 0006-291X (ISSN-L)
- OpenAlex
- W3085201671
- Cited by
- 431
- References
- 24
- FWCI
- 28.62
- Type
- journal article
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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