| Literature DB >> 29258600 |
Tom Van Teunenbroek1,2, James Baker3, Aart Dijkzeul4.
Abstract
The uncertainty regarding the effects and risks of nanomaterials on human health and the environment, and how they should be tested and assessed in the context of current regulations, is clearly holding back the full exploitation of the innovative potential of nanomaterials. To reduce this uncertainty, the European Union funded NANoREG and ProSafe projects (jointly referred to as N1P) have made a critical evaluation of methods to test and assess these risks in the context of the current registration, evaluation, authorisation and restriction of chemicals (REACH) regulation. Where essential methods were lacking, new ones have been developed. For several existing methods, adjustments have been proposed. Possible improvements to the REACH regulation have also been identified in these projects. The results of N1P have been translated into recommendations for (European) policy makers and regulators. Part of them have a "no regret" character, meaning that the proposed actions can be considered as necessary, feasible, effective and cost efficient. The recommended measures proposed for data quality and data management will create a more solid information basis for risk assessment of nanomaterials. When implemented, the recommendations regarding REACH will improve the application of REACH in both a legal and scientific sense. In practical terms however, the application of REACH will remain complex, time-consuming and costly. Besides that, adapting and specifying the information requirements and test methods in REACH for nanomaterials that are now on the market, will not solve the regulatory hurdles for next generation (nano) materials. To better align the dynamic character of developing new materials and the static character of regulations, it is recommended to explore possibilities of a more future proof approach for securing the safety of new (nano) materials.Entities:
Mesh:
Year: 2017 PMID: 29258600 PMCID: PMC5735801 DOI: 10.1186/s12989-017-0235-z
Source DB: PubMed Journal: Part Fibre Toxicol ISSN: 1743-8977 Impact factor: 9.400
Fig. 1Example to show the general data collection framework for (Q) SAR studies, together with the issues that directly affect the reliability and suitability of the data collected for modelling purposes [1]