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Waterborne Nanoplastics and Microplastics: Analytical Advances, Modelling, and Future Directions
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This frontier review synthesizes recent progress in detecting and modeling nano- and microplastics in water, highlighting how machine learning is improving identification accuracy and how fate-transport models are advancing predictions of where plastics accumulate. The authors identify key research gaps and recommend standardized analytical approaches to make monitoring data more comparable across studies globally.
Plastics’ persistence throughout their life cycle has imposed a global burden of nano- and microplastics in aquatic systems. This Frontier Review consolidates recent advances in analytics, machine learning, and fate...
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Research digests by email
When a large batch of papers lands in the Atlas, we read through it and send a short write-up of what stood out.