Machine Learning and DES

The application of deep eutectic solvents (DES) in the pharmaceutical, agricultural, and food industries represents one of the fastest growing fields of green chemistry, as these mixtures can potentially replace traditional organic solvents. These advances are, however, limited by the development of new systems which is today, almost exclusively empirically driven and often derivative from known mixtures. To overcome this limitation, our group has pioneered the use of AI to recognize chemical patterns leading to the formation of DES/NADES. This strategy has the potential to transform a number of industries, streamlining the use of bioactive compounds as functional components of liquid formulations, rather than simple solutes. Thus, our group is currently pursuing the following projects:

• DES for sensing: From adding selectivity to gas sensors to facilitating the extraction of analytes, our DES can greatly enhance the analytical workflow
• Liquid formulations: The poor solubility of pharmaceuticals is one of the key factors limiting their bioavailabilty. We are solving this problem by designing liquid formulations integrating these compounds