A statistical model based on a quantitative structure–activity relationship accurately predicts the cytotoxicity of various metal oxide nanoparticles, thus offering a way to rapidly screen nanomaterials and prioritize testing.
This is a preview of subscription content, access via your institution
Relevant articles
Open Access articles citing this article.
-
Recent Advances in Nano-Enabled Seed Treatment Strategies for Sustainable Agriculture: Challenges, Risk Assessment, and Future Perspectives
Nano-Micro Letters Open Access 16 February 2023
-
The effects of interfacial potential on antimicrobial propensity of ZnO nanoparticle
Scientific Reports Open Access 15 April 2015
Access options
Subscribe to this journal
Receive 12 print issues and online access
$259.00 per year
only $21.58 per issue
Buy this article
- Purchase on Springer Link
- Instant access to full article PDF
Prices may be subject to local taxes which are calculated during checkout
References
Puzyn, T. et al. Nature Nanotech. 6, 175–178 (2011).
Puzyn, T., Leszczynska, D. & Leszczynski, J. Small 5, 2494–2509 (2009).
Auffan, M. et al. Nature Nanotech. 4, 634–641 (2009).
Barnard, A. S. Nature Nanotech. 4, 332–335 (2009).
Xia, X-R. et al. Nature Nanotech. 5, 671–675 (2010).
Author information
Authors and Affiliations
Corresponding authors
Rights and permissions
About this article
Cite this article
Burello, E., Worth, A. Predicting toxicity of nanoparticles. Nature Nanotech 6, 138–139 (2011). https://doi.org/10.1038/nnano.2011.27
Published:
Issue Date:
DOI: https://doi.org/10.1038/nnano.2011.27
This article is cited by
-
Recent Advances in Nano-Enabled Seed Treatment Strategies for Sustainable Agriculture: Challenges, Risk Assessment, and Future Perspectives
Nano-Micro Letters (2023)
-
The effects of interfacial potential on antimicrobial propensity of ZnO nanoparticle
Scientific Reports (2015)
-
The dose makes the poison
Nature Nanotechnology (2011)