Research project Self-learning artificial intelligence for detection of toxic chemicals in recycled materials
Machine learning could contribute enormously is identifying small potentially toxic chemicals from big data acquired from the analysis of recycled materials with LC/ESI/HRMS.
Today, the unawareness of possible chemical risk possessed by the chemicals from the highly varying source material limits the safe usage of recycled materials. To overcome this risk and enable efficient and safe recycling, we need to be able to guarantee that no toxic chemicals are present in the final product. Analytical methods to detect such chemicals exist. What is lacking is a fast way to pinpoint if and which potentially toxic chemicals are present. Here we are developing new workflows for identifying the chemicals detected with LC/ESI/HRMS.
Project members
Project managers
Anneli Kruve
Associate Professor
Members
Ida Rahu
Postdoktor
