No abstract

An analysis of existing regulatory frameworks for chemicals reveals a fragmented situation with a number of regulatory frameworks designed for specific groups of chemicals; for protection of different end-points and covering different parts of the chemicals´ life cycle stages. Lack of-and fragmented information on chemicals (properties, use, emissions as well as fate, occurrence and effects in the environment) limit the ability for assessment and early action, and existing legislation would benefit from more transparency and openness of information and knowledge. To achieve harmonisation of existing legislation and an efficient control of chemical contamination of European waters, a solution-focused approach is proposed including increased ambitions (in monitoring, modelling, and risk assessment), cooperation and dialogue. More holistic and efficient development and implementation of existing legislation can be achieved by better cooperation, harmonisation and information exchange between different regulatory frameworks and by improved science-policy interactions. The introduction of an organisational structure and incentives for cooperation are proposed. Cooperation should focus on harmonisation of advanced monitoring activities, modelling, prioritisation, risk assessment and assessment of risk prevention ('safe by design') and minimisation options. A process for dialogue and information exchange between existing policy frameworks and with stakeholders (industry, NGO´s, etc.) should be included to identify feasible options for mitigation as well as regulatory gaps-on local and EU-scales. There is also a need to increase international cooperation and strengthen global agreements to cover the full life cycle of chemicals (produced and consumed globally) and for exchanging knowledge and experiences to allow early action. This recommended action would also provide knowledge and a framework for a shift towards a sustainable chemistry approach for chemical safety based on a "safe by design" concept.

Purpose Today's chemical society use and emit an enormous number of different, potentially ecotoxic, chemicals to the environment. The vast majority of substances do not have characterisation factors describing their ecotoxicity potential. A first stage, high throughput, screening tool is needed for prioritisation of which substances need further measures. Methods USEtox characterisation factors were calculated in this work based on data generated by quantitative structure-activity relationship (QSAR) models to expand substance coverage where characterisation factors were missing. Existing QSAR models for physico-chemical data and ecotoxicity were used, and to further fill data gaps, an algae QSAR model was developed. The existing USEtox characterisation factors were used as reference to evaluate the impact from the use of QSARs to generate input data to USEtox, with focus on ecotoxicity data. An inventory of chemicals that make up the Swedish societal stock of plastic additives, and their associated predicted emissions, was used as a case study to rank chemicals according to their ecotoxicity potential. Results and discussion For the 210 chemicals in the inventory, only 41 had characterisation factors in the USEtox database. With the use of QSAR generated substance data, an additional 89 characterisation factors could be calculated, substantially improving substance coverage in the ranking. The choice of QSAR model was shown to be important for the reliability of the results, but also with the best correlated model results, the discrepancies between characterisation factors based on estimated data and experimental data were very large. Conclusions The use of QSAR estimated data as basis for calculation of characterisation factors, and the further use of those factors for ranking based on ecotoxicity potential, was assessed as a feasible way to gather substance data for large datasets. However, further research and development of the guidance on how to make use of estimated data is needed to achieve improvement of the accuracy of the results.