Technology to instantly detect nanoplastics in water with the help of artificial intelligence

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Technology to instantly detect nanoplastics in water with the help of artificial intelligence

A study group led by the University McGill First created In situ technology is capable of detecting and differentiating in real time Nanoplastics Other particles in waterAn ability comparable to finding a needle in a haystack milliseconds. A study was conducted on the topic.Nanoplasticose In water: character Physical Chemistry Assisted by 4D artificial intelligence and rapid detection”, Published Inside environment Science & Technology.

Los Microplastics They are between 1 micrometer and 5 millimeters in size, roughly equivalent to a grain of rice. The NanoplasticsHowever, they are very small: a nanometer measures just 0.000001 millimeters. To put this into perspective, a single human hair is 80,000 to 100,000 nanometers thick.

“This technology can Let’s revolutionize the way we monitor and manage plastic pollution And, ultimately, contribute to protecting our environment,” he says. Paris That’s itProfessor James McGill of Chemistry and Departments of Atmospheric and Oceanic Sciences McGill and lead author of the study.

This technology provides a practical tool to more effectively identify and address “hot spots”.

According to the United Nations Environment Program (UNEP), the equivalent of about 2,000 garbage trucks full of plastic in the world’s oceans, rivers and lakes every day. Understand the vulnerability Nanoplastics is challenging in ecosystems due to the limitations of existing detection methods.

Artificial intelligence-based innovation addresses the critical need for real-time analysis of plastic pollution. This technology is a holographic microscopy Nano Digital “Artificial Intelligence Help Online,”AI-assisted Nano-DIHM“, has attracted the attention of experts since its recent presentation.

Graphic resume. Environmental Science & Technology (2024). DOI: 10.1021/acs.est.3c10408

A practical tool for identifying pollution “hot spots”.

“Our research shows that Nano-DIHM AI-assisted detection and Auto distinguish Nanoplastics Y Microplastics“It provides a comprehensive understanding of plastic pollution in aquatic ecosystems, even when coated with other particles,” he says That’s it.

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This technology provides a practical tool to more effectively identify and address pollution “hot spots”. Preliminary results are available in the lake Ontario and mentions the St. Lawrence River Nano-DIHM It can be identified with the help of AI Microplastics Y Nanoplastics into water-borne particles. Developed in collaboration with Canada’s National Research Council, this pioneering technology represents an important advance in environmental monitoring.

Read the original article intelligent Water magazine

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