The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.
UV-C irradiation is highly effective in inactivating SARS-CoV-2 replication
Open accessAbstract
The potential virucidal effects of UV-C irradiation on SARS-CoV-2 were experimentally evaluated for different illumination doses and virus concentrations (1000, 5, 0.05 MOI). At a virus density comparable to that observed in SARS-CoV-2 infection, an UV-C dose of just 3.7 mJ/cm 2 was sufficient to achieve a more than 3-log inactivation without any sign of viral replication. Moreover, a complete inactivation at all viral concentrations was observed with 16.9 mJ/cm 2 . These results could explain the epidemiological trends of COVID-19 and are important for the development of novel sterilizing methods to contain SARS-CoV-2 infection.
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Cited by
Liu, C., Kim, J., Kwak, S. S., Hourlier‐Fargette, A., Avila, R., Vogl, J., Tzavelis, A., Chung, H. U., Lee, J. Y., Kim, D. H., et al. (2021) · Advanced Healthcare Materials · doi:10.1002/adhm.202100383 · Cited by 57
Metadata
- Authors
- Biasin, M., Bianco, A., Pareschi, G., Cavalleri, A., Cavatorta, C., Fenizia, C., Galli, P., Lessio, L., Lualdi, M., Tombetti, E., Ambrosi, A., Redaelli, E. M. A., Saulle, I., Trabattoni, D., Zanutta, A., & Clerici, M.
- Venue
- Scientific Reports
- Published
- 2021-03-18
- Volume
- 11
- Issue
- 1
- Pages
- 6260-6260
- ISSN
- 2045-2322 (ISSN-L)
- OpenAlex
- W3139163088
- Cited by
- 319
- References
- 29
- FWCI
- 36.88
- Type
- journal article
- Language
- en
- Open access
- gold
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- Biasin, M., Bianco, A., Pareschi, G., Cavalleri, A., Cavatorta, C., Fenizia, C., Galli, P., Lessio, L., Lualdi, M., Tombetti, E., Ambrosi, A., Redaelli, E. M. A., Saulle, I., Trabattoni, D., Zanutta, A., & Clerici, M. (2021). UV-C irradiation is highly effective in inactivating SARS-CoV-2 replication. Scientific Reports. https://doi.org/10.1038/s41598-021-85425-w
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
