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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. Detection Methods Sign in to save

A Microwave-Based Sensing Platform for Microplastic Detection and Quantification: A Machine Learning-Assisted Approach

2025
Mateus I. O. Souza, Leonardo Tarczewski, Leonardo Tarczewski, Bernd Lahr, Achiles F. da Mota, Andrei Leitão, Vinícius M. Pepino, Ben‐Hur V. Borges

Summary

Researchers developed a low-cost microwave sensor combined with machine learning to detect and quantify microplastics in water and identify polymer types in unknown samples. The platform achieved the highest sensitivity reported among microwave-based approaches for microplastic detection, offering a promising low-cost alternative to spectroscopy-based methods.

This work introduces a low-cost microwave (MW) sensor that achieves the highest sensitivity among MW-based approaches for detecting microplastics (MPs) in water and provides a mechanism for determining polymer types in unknown samples. These achieveme

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