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Combining Submicron Spectroscopy Techniques (AFM-IR and O-PTIR) To Detect and Quantify Microplastics and Nanoplastics in Snow from a Utah Ski Resort

Environmental Science & Technology 2025 5 citations ? 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.
Sara L. Belontz, Janice Brahney, C. E. Caplan, Eoghan Dillon, Ting Yan, G. Domínguez

Summary

Researchers used two advanced submicron spectroscopy techniques, AFM-IR and O-PTIR, to detect and quantify microplastics and nanoplastics in snow samples collected from a Utah ski resort. The study identified plastic particles smaller than 1 micrometer in the snow, demonstrating that even remote mountain environments contain nanoscale plastic contamination and showcasing new analytical methods for characterizing these tiny particles.

Atomic force microscopy-based infrared spectroscopy (AFM-IR) and optical photothermal infrared (O-PTIR) spectroscopy are cutting-edge techniques used for precise nanoscale chemical analysis, capable of detecting and characterizing particles smaller than 1 μm. In this study, we applied both techniques to analyze snow subsamples collected from Beaver Mountain, Utah. Quantification by AFM-IR identified a concentration of 1.50 × 10-1 μg/mL of poly(3-hydroxybutyrate-co-4-hydroxybutyrate), a copolyester known for its biodegradability and biocompatibility and that was the only polymer detected. Notably, 96% of particles had thicknesses below 1 μm, with the smallest particle recorded at 14 nm in height, demonstrating the advantage of the paired AFM-IR and O-PTIR techniques to detect and identify the chemical composition of a single nanoparticle. By integrating AFM-IR and O-PTIR, we combined the spatial resolution of AFM with the chemical specificity of O-PTIR, overcoming the limitations of each technique. This dual approach enabled high-sensitivity detection of nanoplastics in complex environmental samples with no preprocessing required. This approach provides valuable insights into the dimensions and concentrations of nanoplastics in environmental samples, with broader implications for understanding their prevalence and impact.

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