Literature DB >> 27255696

Towards a nanospecific approach for risk assessment.

Susan Dekkers1, Agnes G Oomen2, Eric A J Bleeker2, Rob J Vandebriel2, Christian Micheletti3, Joan Cabellos4, Gemma Janer4, Natalia Fuentes4, Socorro Vázquez-Campos4, Teresa Borges5, Maria João Silva6, Adriele Prina-Mello7, Dania Movia7, Fabrice Nesslany8, Ana R Ribeiro9, Paulo Emílio Leite9, Monique Groenewold2, Flemming R Cassee2, Adrienne J A M Sips2, Aart Dijkzeul10, Tom van Teunenbroek10, Susan W P Wijnhoven2.   

Abstract

In the current paper, a new strategy for risk assessment of nanomaterials is described, which builds upon previous project outcomes and is developed within the FP7 NANoREG project. NANoREG has the aim to develop, for the long term, new testing strategies adapted to a high number of nanomaterials where many factors can affect their environmental and health impact. In the proposed risk assessment strategy, approaches for (Quantitative) Structure Activity Relationships ((Q)SARs), grouping and read-across are integrated and expanded to guide the user how to prioritise those nanomaterial applications that may lead to high risks for human health. Furthermore, those aspects of exposure, kinetics and hazard assessment that are most likely to be influenced by the nanospecific properties of the material under assessment are identified. These aspects are summarised in six elements, which play a key role in the strategy: exposure potential, dissolution, nanomaterial transformation, accumulation, genotoxicity and immunotoxicity. With the current approach it is possible to identify those situations where the use of nanospecific grouping, read-across and (Q)SAR tools is likely to become feasible in the future, and to point towards the generation of the type of data that is needed for scientific justification, which may lead to regulatory acceptance of nanospecific applications of these tools.
Copyright © 2016 The Authors. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  (Q)SARs; Grouping; Nanomaterials; Prioritisation; Read-across; Risk assessment approach; Testing strategy

Mesh:

Year:  2016        PMID: 27255696     DOI: 10.1016/j.yrtph.2016.05.037

Source DB:  PubMed          Journal:  Regul Toxicol Pharmacol        ISSN: 0273-2300            Impact factor:   3.271


  19 in total

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Journal:  Sci Technol Adv Mater       Date:  2018-10-18       Impact factor: 8.090

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