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Cited by 284

The DOI matches its Crossref record; 163 of the 163 references it cites were found in a registry or an index.

Toxicological Aspects, Safety Assessment, and Green Toxicology of Silver Nanoparticles (AgNPs)—Critical Review: State of the Art

Open access
Noga, Maciej, Milan, Justyna, Frydrych, Adrian, Jurowski, Kamil·2023·International Journal of Molecular Sciences

Abstract

In recent years, research on silver nanoparticles (AgNPs) has attracted considerable interest among scientists because of, among other things, their alternative application to well-known medical agents with antibacterial properties. The size of the silver nanoparticles ranges from 1 to 100 nm. In this paper, we review the progress of research on AgNPs with respect to the synthesis, applications, and toxicological safety of AgNPs, and the issue of in vivo and in vitro research on silver nanoparticles. AgNPs’ synthesis methods include physical, chemical, and biological routes, as well as “green synthesis”. The content of this article covers issues related to the disadvantages of physical and chemical methods, which are expensive and can also have toxicity. This review pays special attention to AgNP biosafety concerns, such as potential toxicity to cells, tissues, and organs.

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Crossref · 10.3390/ijms24065133

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Metadata

Authors
Noga, M., Milan, J., Frydrych, A., & Jurowski, K.
Venue
International Journal of Molecular Sciences
Publisher
MDPI AG
Published
2023-03-07
Volume
24
Issue
6
Pages
5133
ISSN
1422-0067 (ISSN-L)
OpenAlex
W4323568636
Cited by
284
References
163
FWCI
19.98
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Toxicological Aspects, Safety Assessment, and Green Toxicology of Silver Nanoparticles (AgNPs)—Critical Review: State of the Art. https://app.cochat.ai/papers/10.3390/ijms24065133
The paper
Noga, M., Milan, J., Frydrych, A., & Jurowski, K. (2023). Toxicological Aspects, Safety Assessment, and Green Toxicology of Silver Nanoparticles (AgNPs)—Critical Review: State of the Art. International Journal of Molecular Sciences. https://doi.org/10.3390/ijms24065133

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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.