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Waterborne Nanoplastics and Microplastics: Analytical Advances, Modelling, and Future Directions

Environmental Science Nano 2026 Score: 40 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.

Zi Wang, Zi Wang, Zi Wang, Abolghasem Pilechi Zi Wang, Zi Wang, Abolghasem Pilechi Abolghasem Pilechi Abolghasem Pilechi Abolghasem Pilechi Parisa A. Ariya, Abolghasem Pilechi Abolghasem Pilechi Abolghasem Pilechi Abolghasem Pilechi Abolghasem Pilechi Abolghasem Pilechi Abolghasem Pilechi Abolghasem Pilechi Abolghasem Pilechi Abolghasem Pilechi Abolghasem Pilechi Abolghasem Pilechi Abolghasem Pilechi Parisa A. Ariya, Parisa A. Ariya, Parisa A. Ariya, Abolghasem Pilechi Parisa A. Ariya, Parisa A. Ariya, Parisa A. Ariya, Abolghasem Pilechi Parisa A. Ariya, Parisa A. Ariya, Abolghasem Pilechi

Summary

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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