Connecting Waterpeople

You are here

Detecting water pollutants using AI

  • Detecting water pollutants using AI

About the entity

McGill University
McGill University is one of Canada's best-known institutions of higher learning and one of the leading universities in the world. With students coming to McGill from over 150 countries.
Schneider Electric

Imagine using your mobile phone to track the spread of water contaminants—such as oil spills or even viruses like COVID-19—in the blink of an eye. Researchers from McGill University have developed new artificial intelligence to make the invisible visible using advances in lasers, optics, and mobile technology.

The new technology uses remote sensing, meaning it acquires information from a distance, and could one day be deployed on satellites to detect in real-time pollutants as small as a nanometer to a centimeter in the water systems around the globe.


Graphical abstract. Credit: Analytical Chemistry (2022). DOI: 10.1021/acs.analchem.2c02396

"This information could be used to identify, predict, and address the spread of environmental contaminants and outbreaks of diseases or viruses," says Professor Parisa Ariya of the Department of Chemistry and Department of Atmospheric and Oceanic Sciences, who led the team of researchers. "It's a game-changer, allowing governments, industries, and communities to act quickly, share information, and reduce damage to the ecosystem and risks to public health."

The study is published in Analytical Chemistry.

Subscribe to our newsletter

The data provided will be treated by iAgua Conocimiento, SL for the purpose of sending emails with updated information and occasionally on products and / or services of interest. For this we need you to check the following box to grant your consent. Remember that at any time you can exercise your rights of access, rectification and elimination of this data. You can consult all the additional and detailed information about Data Protection.