What’s that microplastic? Advances in machine learning are making identifying plastics in the environment more reliable

Summary

This piece reviews advances in machine learning for identifying polymer types in environmental microplastic samples, describing how models trained on spectroscopic and imaging data are improving the reliability and speed of plastic classification. Better automated identification tools are essential for building standardized datasets needed to track pollution sources, assess regulatory compliance, and understand human and ecological exposure to specific plastic types.