The DOI matches its Crossref record; 48 of the 48 references it cites were found in a registry or an index.
Cold Plasma, a New Hope in the Field of Virus Inactivation
Open accessAbstract
Viruses can infect all cell-based organisms, from bacteria to humans, animals, and plants. They are responsible for numerous cases of hospitalization, many deaths, and widespread crop destruction, all of which result in an enormous medical, economical, and biological burden. Each of the currently used decontamination methods has important drawbacks. Cold plasma (CP) has entered this field as a novel, efficient, and clean solution for virus inactivation. We present recent developments in this promising field of CP-mediated virus inactivation, and describe the applications and mechanisms of the inactivation. This is particularly relevant because viral pandemics, such as COVID-19, highlight the need for alternative virus inactivation methods to replace, complement, or upgrade existing procedures.
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Cites
Aerosol and surface stability of SARS-CoV-2 as compared with SARS-CoV-1
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Cited by
Adeno-associated virus vector as a platform for gene therapy delivery
Wang, D., Tai, P. W. L., & Gao, G. (2019) · Nature Reviews Drug Discovery · doi:10.1038/s41573-019-0012-9 · Cited by 2,444
Metadata
- Authors
- Filipić, A., Gutierrez-Aguirre, I., Primc, G., Mozetič, M., & Dobnik, D.
- Venue
- Trends in Biotechnology
- Publisher
- Elsevier BV
- Published
- 2020-11
- Volume
- 38
- Issue
- 11
- Pages
- 1278-1291
- ISSN
- 0167-7799 (ISSN-L)
- OpenAlex
- W3016766447
- Cited by
- 257
- References
- 48
- FWCI
- 8.45
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Filipić, A., Gutierrez-Aguirre, I., Primc, G., Mozetič, M., & Dobnik, D. (2020). Cold Plasma, a New Hope in the Field of Virus Inactivation. Trends in Biotechnology. https://doi.org/10.1016/j.tibtech.2020.04.003
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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.
