S3: ACEnano: A tiered approach
ACEnano: Analytical and Characterisation Excellence in nanomaterial risk assessment: A tiered approach
University of Birmingham
ACEnano, a H2020 funded project, started in early 2017, with the aim to establish a reliable characterisation framework for nanomaterials (NMs), specifically for nanosafety assessment. Given the extreme diversity and dynamic nature of NMs, particularly in complex environmental or biological media, their physicochemical characterisation is often cumbersome, slow and irreproducible. Three key actions can resolve this: 1) the development of a holistic analytical framework for reproducible NM characterisation, spanning from initial needs assessment through method selection to data interpretation and storage; 2) the embedding of this framework in an operational, linked-up ontology (“common language”) and data framework to allow identification of causal relationships between NMs properties, be they intrinsic, extrinsic or calculated, and biological, (eco)toxicological and health impacts; and 3) the full integration of training activities that will ensure that the technical expertise and underpinning data framework are fully delivered to the community in a tiered approach model. The result will be an innovative and adaptive mechanistic 21st century risk assessment framework (based on grouping and read-across) that can keep pace with market and product innovation and facilitate prediction of NMs impacts and implementation of safe by design strategies and support regulation.In my presentation I will describe the ACEnano concept and provide details on the analytical solutions the project is developing, the technical developments to date and plans to roll out the ACEnano concept and training within and outside Europe.