AIIC AI Intelligence Centre

SOURCE-LINKED INTELLIGENCE

Smart materials with switchable surface for effective removal of forever chemicals

CORDIS · observation · Publication date unknown

could catch the fluorinated alkyl tail and the anionic head of PFAS via fluorophilic and electrostatic interactions , respectively, thereby enhancing the selective capture of PFAS by smart hydrogels. Machine learning will guide optimal monomer combinations, accelerate synthesis and optimize performance. Scalable formats (beads, membranes) will be validated in real-water continuous-flow tests with techno-economic analysis. By combining material science, computational modelling, environmental engineering, and sustainability assessment, this project will deliver a selective, regenerable, and cost-effective PFAS treatment technology, supporting EU Green Deal and Zero Pollution goals, and providing a transferable framework for the development of smart adsorbents targeting diverse pollutants. Per- and polyfluoroalkyl substances (PFAS), smart hydrogels, adsorption, regeneration, Thermosensitive polymers, Photothermal polymers

Read original source ↗ Open in workspace

recordType
award
status
SIGNED
region
EU
value
247553.28
unit
EUR

Evidence & attribution

European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.

License: CORDIS reuse policy

First collected: 2026-09-20T04:21:15.460Z. This is not the publication date.