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Benchmarking the FC1 Sampler for High-Efficiency Particulate Recovery from Snow-Derived Matrices

Zenodo (CERN European Organization for Nuclear Research) 2026
Mitra Nikpay

Summary

Scientists tested a new filter called the FC1 sampler to remove tiny particles (like pollution and microplastics) from melted snow, and it successfully captured 96% of these particles in lab experiments. This matters because snow contains pollutants that eventually flow into our drinking water and ecosystems, so having an effective way to filter and study these particles helps us understand how contamination spreads and protects human health.

ABSTRACT: Snow-derived water represents a complex environmental matrix for particulate separation due to its high heterogeneity and unpredictable loading. This study evaluates the FC1 sampler’s capacity for advanced particulate capture in melted snow under controlled laboratory conditions. Utilizing microscopic image-based particle-size classification, we quantified the sampler's performance across a fine and heterogeneous particulate system. Across multiple tests, the mean inlet concentration was 11.405 mg/L, while the FC1 achieved a mean outlet concentration of 0.458 mg/L, corresponding to a mass-based separation efficiency of 96%. Morphological analysis revealed a consistent dominance of spherical and irregular particles across both inlet and outlet streams, indicating that separation performance is not dependent on particle morphology within the analyzed particle population. These results establish the FC1 system as a high-performance solution for particulate recovery from snow-derived water and provide a critical technical baseline for future cryospheric microplastic and pollution research. Keywords: FC1 sampler; snowmelt water; particulate separation; particle size distribution; cryosphere

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