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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 Environmental Sources Human Health Effects Marine & Wildlife Nanoplastics Policy & Risk Sign in to save

Nanodevice Approaches for Detecting Micro- and Nanoplastics in Complex Matrices

Nanomaterials 2025 1 citation ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 53 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Rita Paola Debri, Fabrizia Sepe, Silvia Romano, Nicolantonio D’Orazio, Antonino De Lorenzo, Anna Calarco, Raffaele Conte, Gianfranco Peluso

Summary

This review examines emerging nanodevice-based approaches for detecting micro- and nanoplastics across complex environmental and biological samples. The study highlights that nanosensors, nanopore systems, and lab-on-a-chip platforms offer improved sensitivity and real-time detection capabilities compared to conventional methods like spectroscopy and chromatography, though standardization challenges remain.

Micro- and nanoplastics (MNPs) are increasingly recognized as pervasive environmental contaminants with profound implications for ecosystems and human health. Their small size, compositional diversity, and occurrence across complex matrices-including water, soil, food, and biological samples-pose substantial analytical challenges. Conventional techniques such as vibrational spectroscopy, chromatographic analysis, and electron microscopy have yielded critical insights into MNP composition, morphology, and distribution; however, these methods often face limitations in sensitivity, throughput, and adaptability to real-world samples. Recent advances in nanotechnology have catalyzed the emergence of nanodevices-encompassing nanosensors, nanopore systems, integrated lab-on-a-chip platforms and nanostructured capture materials-that promise enhanced sensitivity, specificity, and the capacity for real-time, in situ detection. These innovations not only facilitate high-throughput analysis but also provide novel opportunities for integrated characterization of MNPs across diverse matrices. This review synthesizes the current state of nanodevice-based MNP detection, critically examining their principles, performance, and limitations relative to conventional approaches, and outlining the key needs for standardization, matrix-specific adaptation, and regulatory harmonization.

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