Congrats to all the co-authors: Finja Krebs, Holger Zagst, Matthias Stein, Ratih Ratih, Robert Minkner, Mais Olabi, Sophie Hartung, Christin Scheller, Blanca H. Lapizco-Encinas, Cari S. van de Griend, and Hermann Wätzig. Electrophoresis 44 (2023) 1279–1341        

Besides showing some of the results collected during the last year, this event is a great opportunity to interact with incoming students, other groups, and colleagues. Functional Deep Eutectic Solvents to Boost Antioxidant Synergism in Edible FatsEmmanuel D. Dike, Lucas B. Ayres, Tomas E. Benavidez, Jorge Barroso, Vagner B. dos Santos and Carlos D. Garcia Deep Eutectic Solvents Incorporating Cannabinoids: The Influence of Water on StabilityLucas B. Ayres, Carlos D. Garcia and Jorge Barroso A Molecularly Imprinted Polymer Electrochemical Sensor for Ibuprofen DetectionOmotayo P. Asanga, Vagner B. dos Santos and Carlos D. Garcia Detection of surfactants using a hydrophobic natural deep […]

This work leverages the complexity of hydrogen-bond interactions to develop functional deep eutectic solvents, defined as those formed by molecules with specific functionality (antioxidants, in this case). Specifically, the proposed strategy utilizes established machine learning models to sequentially predict what antioxidants are likely to form synergistic mixtures and then, select predict which mixtures would also form stable deep eutectic solvents (DES). As a proof of concept, we herein present results obtained with mixtures of BHA (tert-butyl-4-hydroxyanisole) and BHT (3,5-di-tert-butyl-4-hydroxytoluene), which are not only known to form synergistic mixtures but also identified by our model as top candidates for the proposed […]