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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 Marine & Wildlife Policy & Risk Sign in to save

Rapid Microplastic Detection Using High-Throughput Screening Raman Spectroscopy

ACS Omega 2025 4 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 48 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Shiwani Shiwani, Shiwani Shiwani, Christoph Krafft Christoph Krafft Shiwani Shiwani, Shiwani Shiwani, Ines Latka, Christoph Krafft Christoph Krafft Iwan W. Schie, Christoph Krafft Christoph Krafft Jürgen Popp, Jürgen Popp, Christoph Krafft Iwan W. Schie, Christoph Krafft Iwan W. Schie, Christoph Krafft Christoph Krafft Christoph Krafft

Summary

Researchers developed a high-throughput Raman spectroscopy platform combining a 3.15 × 2.10 mm field of view with 1.4 µm spatial resolution for rapid label-free detection of microplastics. The system integrates automated particle recognition, autofocus correction, and spectral acquisition, significantly reducing analysis time compared to conventional micro-Raman approaches.

Microplastic pollution poses a significant environmental challenge, with particles ranging from micrometers to millimeters contaminating ecosystems worldwide. Traditional Raman microspectroscopy struggles to balance spatial resolution, field of view, and throughput, especially at low particle concentrations. Here, we present a high-throughput Raman spectroscopy (HTS-RS) platform that overcomes these limitations by combining a 3.15 × 2.10 mm<sup>2</sup> field of view with a spatial resolution of 1.4 μm, enabling rapid, label-free detection and classification of microplastics across a wide size range. The system integrates automated particle recognition, autofocus correction, and Raman spectral acquisition into a seamless workflow, reducing user intervention and accelerating data acquisition. Validation on reference microplastic mixtures demonstrated precise detection from 7 μm to over 400 μm, with robust morphological and chemical characterization. With its high sensitivity, throughput, and automation, our platform sets a new benchmark for microplastic monitoring and provides a scalable solution for environmental screening applications.

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