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Article ? AI-assigned paper type based on the abstract. Classification may not be perfect — flag errors using the feedback button. Tier 2 ? Original research — experimental, observational, or case-control study. Direct primary evidence. Human Health Effects Sign in to save

Artificial Intelligence (AI) to Trace the Pathways of MPs

2025
Madhulika Bhati, Joydeep Biswas, Saurav Kumar, Nishita Kumari

Summary

This book chapter examines how artificial intelligence tools—including machine learning and remote sensing—can be used to trace microplastic transport pathways across environments, improving the accuracy and scale of MP distribution mapping beyond what conventional monitoring can achieve.

One of the most outgrown man-made materials, i.e., “Plastics”, has been under the lens of environmental scrutiny for a long time and is still lacking proper global information data towards its end. Artificial intelligence is one of the strongest tools that can be used for sustainable tracing of microplastics, having very potential effects of harming the environment as well as human health. The main motive of the study is to trace the microplastics with the help of Artificial Intelligence-supported software and understand the pathway of microplastics in the ecological cycle and its predominant toxic effect on the environment. The study will inculcate the current status and scientific research trends using bibliometric tools.

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