Predictive models for nanotoxicology: current challenges and future opportunities.

Details

Ressource 1Download: BIB_FBF0272C5DC8.P001.pdf (151.24 [Ko])
State: Public
Version: Author's accepted manuscript
Serval ID
serval:BIB_FBF0272C5DC8
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Predictive models for nanotoxicology: current challenges and future opportunities.
Journal
Regulatory Toxicology and Pharmacology
Author(s)
Clark Katherine A., White Ronald H., Silbergeld Ellen K.
ISSN
1096-0295 (Electronic)
ISSN-L
0273-2300
Publication state
Published
Issued date
2011
Peer-reviewed
Oui
Volume
59
Number
3
Pages
361-363
Language
english
Abstract
Characterizing the risks posed by nanomaterials is extraordinarily complex because these materials can have a wide range of sizes, shapes, chemical compositions and surface modifications, all of which may affect toxicity. There is an urgent need for a testing strategy that can rapidly and efficiently provide a screening approach for evaluating the potential hazard of nanomaterials and inform the prioritization of additional toxicological testing where necessary. Predictive toxicity models could form an integral component of such an approach by predicting which nanomaterials, as a result of their physico-chemical characteristics, have potentially hazardous properties. Strategies for directing research towards predictive models and the ancillary benefits of such research are presented here.
Keywords
Nanostructures , Nanoparticles , Risk Assessment , Toxicity Tests , Models, Theoretical
Pubmed
Web of science
Open Access
Yes
Create date
26/04/2011 13:30
Last modification date
20/08/2019 16:27
Usage data