SOURCE-LINKED INTELLIGENCE
Radio Frequency Detection and Classification of Microplastics in Water
Micro- and nano-plastic particles (MPs/NPs) are ubiquitous environmental contaminants whose increasing abundance and potential health impacts have created an urgent need for rapid, label-free detection methods. As particle size decreases to the low-micrometer range, conventional optical and spectroscopic techniques become increasingly challenging because of limited throughput and/or complex sample preparation. In this work, we present a machine learning (ML)-assisted radio-frequency (RF) dielectric spectroscopic cytometry (DiSC) platform for the label-free detection and classification of MPs.
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-17T14:51:08.000Z
First collected: 2026-09-19T20:28:14.107Z. This is not the publication date.