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Cited by 341

The DOI matches its Crossref record; 60 of the 60 references it cites were found in a registry or an index.

Disinfection and Sterilization Using Plasma Technology: Fundamentals and Future Perspectives for Biological Applications

Open access
Sakudo, Akikazu, Yagyu, Yoshihito, Onodera, Takashi·2019·International Journal of Molecular Sciences

Abstract

Recent studies have shown that plasma can efficiently inactivate microbial pathogens such as bacteria, fungi, and viruses in addition to degrading toxins. Moreover, this technology is effective at inactivating pathogens on the surface of medical and dental devices, as well as agricultural products. The current practical applications of plasma technology range from sterilizing therapeutic medical devices to improving crop yields, as well as the area of food preservation. This review introduces recent advances and future perspectives in plasma technology, especially in applications related to disinfection and sterilization. We also introduce the latest studies, mainly focusing on the potential applications of plasma technology for the inactivation of microorganisms and the degradation of toxins.

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Crossref · 10.3390/ijms20205216

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Metadata

Authors
Sakudo, A., Yagyu, Y., & Onodera, T.
Venue
International Journal of Molecular Sciences
Publisher
MDPI AG
Published
2019-10-21
Volume
20
Issue
20
Pages
5216
ISSN
1422-0067 (ISSN-L)
OpenAlex
W2980539484
Cited by
341
References
60
FWCI
20.25
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Disinfection and Sterilization Using Plasma Technology: Fundamentals and Future Perspectives for Biological Applications. https://app.cochat.ai/papers/10.3390/ijms20205216
The paper
Sakudo, A., Yagyu, Y., & Onodera, T. (2019). Disinfection and Sterilization Using Plasma Technology: Fundamentals and Future Perspectives for Biological Applications. International Journal of Molecular Sciences. https://doi.org/10.3390/ijms20205216

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.