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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 Remediation Sign in to save

Microplastics in Stormwater: Sampling and Methodology Challenges

Toxics 2025 1 citation ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 43 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Andres Sanchez Garcia, Huayun Zhou, Huayun Zhou, César Gómez-Ávila, César Gómez-Ávila, Tariq Hussain, Aryan Roghani, Aryan Roghani, Danny D. Reible, Balaji Rao

Summary

Stormwater runoff washes microplastics from roads, lawns, and urban surfaces directly into streams and rivers, but measuring this pathway consistently has been hampered by a lack of standardized sampling methods. This study collected stormwater sediment samples from control measures across multiple U.S. regions and found that conventional sampling tools designed for chemical contaminants are poorly suited for capturing the full range of microplastic sizes and shapes. The results call for purpose-built sampling protocols for stormwater microplastics to improve the reliability of pollution monitoring.

Study Type Environmental

Stormwater runoff is a significant source of microplastics to surface water. This study addresses challenges in the sampling, treatment, and characterization of microplastics in existing stormwater control measures across various regions in the United States. Stormwater sediment samples were collected via traditional stormwater sampling approaches for particulate and inorganic contamination with portable automatic samplers, analyzed using visible and fluorescence microscopy with Nile red as a selective stain, and subsequently confirmed through Raman spectroscopy. The inclusion of laboratory and field blanks enabled the identification of contamination at key steps during sample handling. The results reveal that the filtration process is a significant source of laboratory contamination, while the sampling process itself could be a primary contributor to overall sample contamination. Additionally, it was found that using green fluorescence as the sole emission wavelength may underestimate MP quantities, as some particles emit fluorescence exclusively in the red spectrum. Raman analysis revealed interferences caused by pigments and additives in plastics, along with challenges evaluating particles in the low micron range (≤10 microns), which complicates a comprehensive analysis. The findings of this study emphasize the importance of implementing strong quality assurance and control measures when assessing the levels of microplastics in the environment, including sample collection, processing, and analysis.

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