Harnessing Artificial Intelligence for the Detection and Analysis of Microplastics and Associated Chemicals in the Atmosphere

S. Veerasingam; Prince Jebedass Isaac Chandran; Hana Ahmed Abdallah Dardeer; M. Ranjani; M. Ranjani; Hashir Puthkkudi Kuningarath; Saud Abdu Ghani; Fadhil Sadooni

doi:10.1007/978-3-032-11426-6_4

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Harnessing Artificial Intelligence for the Detection and Analysis of Microplastics and Associated Chemicals in the Atmosphere

Earth and environmental sciences library 2026

S. Veerasingam, Prince Jebedass Isaac Chandran, Hana Ahmed Abdallah Dardeer, M. Ranjani, M. Ranjani, Hashir Puthkkudi Kuningarath, Saud Abdu Ghani, Fadhil Sadooni

Summary

Researchers reviewed how artificial intelligence can improve detection and analysis of atmospheric microplastics, which travel long distances and pose unavoidable human exposure risks. AI-based tools offer promising advances in identifying plastic particles and associated chemical contaminants across diverse environmental matrices.

Models

Human

Microplastics are tiny plastic particles ranging from 0.1 µm to 5 mm in size, and present in all environments, leading to unavoidable human exposure. Atmospheric microplastics can travel long distances, reaching areas such as mountain ranges, remote...

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