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The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Nanosilver: new ageless and versatile biomedical therapeutic scaffold

Open access
Ullah Khan, Shahid, Saleh, Tawfik A, Wahab, Abdul, Ullah Khan, Muhammad Hafeez, Khan, Dilfaraz, Ullah Khan, Wasim, Rahim, Abdur, Kamal, Sajid, Ullah Khan, Farman, Fahad, Shah·2018·International Journal of Nanomedicine

Abstract

Silver nanotechnology has received tremendous attention in recent years, owing to its wide range of applications in various fields and its intrinsic therapeutic properties. In this review, an attempt is made to critically evaluate the chemical, physical, and biological synthesis of silver nanoparticles (AgNPs) as well as their efficacy in the field of theranostics including microbiology and parasitology. Moreover, an outlook is also provided regarding the performance of AgNPs against different biological systems such as bacteria, fungi, viruses, and parasites (leishmanial and malarial parasites) in curing certain fatal human diseases, with a special focus on cancer. The mechanism of action of AgNPs in different biological systems still remains enigmatic. Here, due to limited available literature, we only focused on AgNPs mechanism in biological systems including human (wound healing and apoptosis), bacteria, and viruses which may open new windows for future research to ensure the versatile application of AgNPs in cosmetics, electronics, and medical fields.

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Registry

Crossref · 10.2147/ijn.s153167

Cites

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Metadata

Authors
Ullah Khan, S., Saleh, T. A., Wahab, A., Ullah Khan, M. H., Khan, D., Ullah Khan, W., Rahim, A., Kamal, S., Ullah Khan, F., & Fahad, S.
Venue
International Journal of Nanomedicine
Published
2018-02
Volume
Volume 13
Pages
733-762
ISSN
  • 1176-9114 (ISSN-L)
  • 1178-2013
OpenAlex
W2792620666
Cited by
203
References
4
FWCI
9.85
Type
journal article
Language
en
Open access
gold

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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.