Periodic Reporting for period 1 - REMEDI (Trapping and Removal of X-ray Contrast Medium agents from water resource and stream Sediments- New Concepts in Trapping, Recycling and Management)
Reporting period: 2021-01-01 to 2022-12-31
Training activities are in line with the plan, training course are underway including technical training as well as soft skills such as communication skills and dissemination through e-learning. These activities will facilitate future planned communication activities which will scale up in the coming year. The project has currently a complete and functional website which will stands as a key communication platform.
• New technologies to remove dissolved and Fe-bound CMA from water treatment systems will be developed and optimized in view of CMA retention, management of water treatment systems, and recycling of the trapped CMA and the corresponding.
• Goals of circular economy will be met by developing procedures to transform CMA-containing Fe0 oxides into new medical components and demonstrating their suitability to be reused.
• Mechanistic and quantitative models will be developed based on advanced knowledge on microbially or abiotically driven Fe mineral transformations and their consequences for binding and release of CMA.
REMEDI works towards the implementation of a circular economy paradigm for CMA production. This is a relevant objective contributing to securing supply critical pharmaceutical products. At the same time the project has a foreseen on environmental sustainability regarding medical use of CMA. The project has then wide foreseen impacts across the scientific and industrial sector. The project target can only be accomplished while relying on a sound technical understanding of the chemical and physical processes influencing CMA fate. Behaviour of CMA in natural water and porous media has been only partially explored to date. REMEDI is taking a systematic approach to this problem with a major research effort. Preliminary results show promising results in terms of (i) design appropriate materials for CMA recovery, (ii) interpretation of laboratory data, (iii) use of machine learning approaches to build flexible tools to characterize the fate of CMAs in natural waters. To these end, REMEDI is pursuing a multi-scale and multi-disciplinary effort combining molecular dynamics simulations with laboratory experiments and microfluidics devices.