ACEnano will introduce confidence, adaptability and clarity into nanomaterial risk assessment by developing a widely implementable and robust tiered approach to nanomaterials physicochemical characterisation that will simplify and facilitate contextual (hazard or exposure) description and its transcription into a reliable nanomaterials grouping framework.
This will be achieved by the creation of a “conceptual toolbox” including a tiered approach to cost efficient nanomaterials analysis that will facilitate decision-making in choice of techniques and SOPs, linked to a characterisation ontology framework for grouping and risk assessment.
ACEnano will initiate activities to support data collection, management, interpretation and delivery to a data warehouse for safe use & storage. It will thus underpin the future of nanomaterial quality control, labelling and anti-counterfeiting.
The ACEnano Knowledge Warehouse (KW) supports the activities related to data collection and mehod optimisation in ACEnano and aims to furhter disseminate this knowledge to the nanosafety community in a re-usable format. The KW includes multiple instances (protocols, data and dissemination) to optimally accommodate the requirements of the different data types (e.g. raw, processed data and protocols).