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Cited by 544

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

Redox-active radical scavenging nanomaterials

Open access
Karakoti, Ajay, Singh, Sanjay, Dowding, Janet M., Seal, Sudipta, Self, William T.·2010·Chemical Society Reviews

Abstract

Reactive oxygen and nitrogen species play a critical role in many degenerative diseases and in aging. Nanomaterials, especially modified fullerenes and cerium oxide nanoparticles, have been shown to effectively protect mammalian cells against damage caused by increased reactive oxygen or nitrogen species, likely through their direct reaction with superoxide radical, since each of these materials has been shown to act as effective superoxide dismutase mimetics in vitro. This critical review discusses the chemistry of these nanomaterials and the context in which their radical scavenging activities have been studied in biological model systems. Current studies are focused on determining the uptake, metabolism, distribution, toxicity and fate of these nanomaterials in cell and animal model systems. Ultimately if shown to be safe, these nanomaterials have the potential to be used to reduce the damaging effects of radicals in biological systems (101 references).

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Crossref · 10.1039/b919677n

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Metadata

Authors
Karakoti, A., Singh, S., Dowding, J. M., Seal, S., & Self, W. T.
Venue
Chemical Society Reviews
Published
2010
Volume
39
Issue
11
Pages
4422
ISSN
  • 0306-0012 (ISSN-L)
  • 1460-4744
OpenAlex
W2046437084
Cited by
544
References
3
FWCI
1.06
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Redox-active radical scavenging nanomaterials. https://app.cochat.ai/papers/10.1039/b919677n
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Karakoti, A., Singh, S., Dowding, J. M., Seal, S., & Self, W. T. (2010). Redox-active radical scavenging nanomaterials. Chemical Society Reviews. https://doi.org/10.1039/b919677n

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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.