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Cited by 255

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

An overview of functional nanoparticles as novel emerging antiviral therapeutic agents

Open access
Chen, Lu, Liang, Jiangong·2020·Materials Science and Engineering: C

Abstract

Research on highly effective antiviral drugs is essential for preventing the spread of infections and reducing losses. Recently, many functional nanoparticles have been shown to possess remarkable antiviral ability, such as quantum dots, gold and silver nanoparticles, nanoclusters, carbon dots, graphene oxide, silicon materials, polymers and dendrimers. Despite their difference in antiviral mechanism and inhibition efficacy, these functional nanoparticles-based structures have unique features as potential antiviral candidates. In this topical review, we highlight the antiviral efficacy and mechanism of these nanoparticles. Specifically, we introduce various methods for analyzing the viricidal activity of functional nanoparticles and the latest advances in antiviral functional nanoparticles. Furthermore, we systematically describe the advantages and disadvantages of these functional nanoparticles in viricidal applications. Finally, we discuss the challenges and prospects of antiviral nanostructures. This topic review covers 132 papers and will enrich our knowledge about the antiviral efficacy and mechanism of various functional nanoparticles.

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Metadata

Authors
Chen, L., & Liang, J.
Venue
Materials Science and Engineering: C
Publisher
Elsevier BV
Published
2020-07
Volume
112
Pages
110924
ISSN
0928-4931 (ISSN-L)
OpenAlex
W3015494993
Cited by
255
References
3
FWCI
18.37
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: An overview of functional nanoparticles as novel emerging antiviral therapeutic agents. https://app.cochat.ai/papers/10.1016/j.msec.2020.110924
The paper
Chen, L., & Liang, J. (2020). An overview of functional nanoparticles as novel emerging antiviral therapeutic agents. Materials Science and Engineering: C. https://doi.org/10.1016/j.msec.2020.110924

Data sources

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.