Imagine using your mobile phone to track the spread of water contaminants – such as oil spills or even viruses like COVID-19 – at a glance.
Researchers at McGill University have developed a new artificial intelligence to make the invisible visible through advances in lasers, optics and mobile technology. The new technology uses remote sensing, meaning it acquires information remotely, and could one day be deployed on satellites to detect pollutants as small as one nanometer to one centimeter in real-time in the world’s aquatic systems. entire.
“This information could be used to identify, predict and address the spread of environmental contaminants and disease or virus outbreaks.“says Professor Parisa Ariya from the Department of Chemistry and the Department of Atmospheric and Oceanic Sciences, who led the team of researchers.”It’s a game-changer, enabling governments, industries and communities to act quickly, share information and reduce ecosystem damage and public health risks..”
Hall, R. et al. (2022) New dynamic technique, Nano-DIHM, for the rapid detection of oil, heavy metals and biological spills in aquatic systems. Analytical Chemistry. doi.org/10.1021/acs.analchem.2c02396.