ACEnano in a nutshell
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.
Latest news
Release of ACEnano Knowledge Warehouse: Data collection, methods optimisation and knowledge sharing
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).
