We are excited to announce that the DUTCH POLYMER INSTITUTE (DPI) has funded our new three-year research project titled “Deep-Learning-aided GPC-IR fingerprinting of complex polyolefin mixtures (DL-PO)”!🎉🔬
By combining deep learning with GPC-IR fingerprinting, we hope to unlock new possibilities for analyzing and characterizing these materials, and to provide valuable insights into their properties and behavior. This research is being carried out in partnership with the Department of Chemical Sciences of the University of Naples Federico II.
We are grateful to the DUTCH POLYMER INSTITUTE (DPI) for their support, and we look forward to sharing our progress and results with the scientific community.
Abstract: A sustainable society needs plastics, and also practical ways for recycling post-consumer plastic wastes. This project addresses the latter question for polyolefins (whose share of the plastic market already exceeds 50 wt.-% and is predicted to grow further) with an interdisciplinary approach. The general idea is to facilitate the mechanical recycling of polyolefin waste streams, previously separated from other plastics with existing methods, by implementing a rapid fine sorting instrument which integrates high-end characterization techniques and a properly designed Artificial Intelligence algorithm, trained on a large archive of molecular fingerprints for commercial grades and able to recognize said fingerprints in complex mixtures.
