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EuroMix

EuroMix
Funder: European CommissionProject code: 633172 Call for proposal: H2020-SFS-2014-2
Funded under: H2020 | RIA Overall Budget: 8,821,300 EURFunder Contribution: 7,999,100 EUR
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Description

Euromix aim to develop an experimentally verified, tiered strategy for the risk assessment of mixtures of multiple chemicals derived from multiple sources across different life stages. The project takes account of the gender dimension and balances the risk of chemicals present in foods against the benefits of those foods. Important concepts for this new strategy are prioritisation criteria for chemicals based on their exposure and hazard characteristics and evaluation of the role of mode of action in grouping chemicals into cumulative assessment groups. In-silico and in-vitro tools will be developed and verified against in-vivo experiments, with focus on four selected endpoints (liver, hormones, development and immunology) to provide a full proof-of-principle. The EuroMix project will result in an innovative platform of bioassays for mixture testing and refined categorisation of chemicals in cumulative assessment groups. New hazard and exposure models will be embedded in a model toolbox, made available for stakeholders through an openly accessible web-based platform. Access to the web-based tools will be facilitated by training. Criteria will be set and guidance will be written on how to use and implement the tiered test strategy. Dissemination and harmonisation of the approach within EU, Codex Alimentarius, and WHO will be achieved by involving a.o. WHO and US-EPA in the project and by the participation of experts playing a key role in helping establish international food safety policies. It is expected that the new mechanism-based strategy, the bioassay platform, the openly accessible web-based model toolbox, and clear guidance on a tiered hazard and exposure test and risk assessment strategy will boost innovation in the public and private sector, provide a sound scientific basis for managing risks to public health from chemical mixtures, ultimately reduce the use of laboratory animals, and support the global discussion of risk assessment policies for mixtures.

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