AI and Carbon Dots in Viruses Detection and Inactivation

Carbon dots and artificial intelligence are a promising combination against viruses.

Carbon dots are fluorescent nanoparticles, biocompatible, quasi-spherical, with sizes less than 10 nm. These nanoparticles were accidentally discovered in 2004. Their properties present paramount applications in several fields, such as biomedicine, environmental protection, agriculture, etc. With the COVID-19 outbreak, the interest in testing this awesome for detecting and inactivation of virus rose significantly. The results are promising; however, until now, no works have tried to combine artificial intelligence and carbon dots for virus inactivation and their detection in a hospital environment. Therefore, the present project aims to develop a functional and practical approach to apply artificial intelligence and Carbon dots for the selective detection and inactivation of the virus hospital environment. To test the hypothesis, some steps will be followed: 1) Green synthesis of carbon Dots; 2) Evaluation detection and virus inactivation of Carbon dots; 3) Coating of carbon dots in materials such as cotton, stainless steel, and other materials that are mainly used in a hospital environment; 4) Development an artificial intelligence approach to accelerate the image interpretation; 5) Evaluation the concept in a real-world environment. The current projects highlight COVID-19, but their results can be applied to other viruses.

Group Leader

Domingos Lusitâneo Pier Macuvele, Lindau Alumnus 2022
Federal University of Santa Catarina – Brazil and University of Rovuma