Imagine trying to guess if a new ingredient is safe by testing it for years in a lab. This project creates digital shortcuts and fast-track tests to predict if a material is toxic or eco-friendly without waiting for slow traditional trials. It's like using a high-tech simulator to spot safety flaws before a product ever hits the factory floor.
Companies struggle with slow, expensive, and often inaccurate safety and sustainability tests for new chemicals, especially nanomaterials. This delays product launches and increases regulatory risk.
A set of in silico prediction models and high-throughput testing protocols. It also includes a combined methodology for Risk Assessment and Life Cycle Assessment.
If you are a specialty chemical producer dealing with slow regulatory approval for new substances — this project developed in silico models that predict toxicity and safety. This allows you to screen out dangerous materials early in the design phase.
If you are a nano-material developer dealing with the complex behavior of particles at the nano level — this project developed high-resolution analysis and proteomics tools. This provides a clearer picture of how your materials interact with the environment.
If you are an LCA provider dealing with inaccurate sustainability data for advanced materials — this project developed a new methodology combining Risk Assessment and LCA. This improves the accuracy of sustainability criteria for the EU market.
Based on available project data, no pricing or cost information is provided as this is a research project.
The project aims to develop high-throughput and in silico models to improve screening efficiency, but industrial scale-up details are not specified.
Based on available project data, there is no information regarding the licensing or patent strategy for the developed tools.
The project aligns with the Chemicals Strategy for Sustainability (CSS) and the Safe and Sustainable by Design (SSbD) framework to help materials meet EU safety standards.
The project is active from 2024-01-01 to 2027-12-31, spanning a total of 48 months.
The consortium is heavily research-oriented, consisting of 7 universities and 2 research institutes, with only 2 industrial partners (18% industry ratio). This suggests the output will be highly scientific and focused on methodology rather than immediate commercial products, though the inclusion of 2 SMEs indicates a path toward practical application.
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