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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 Remediation Sign in to save

Comparing Methods for Microplastic Quantification Using the Danube as a Model

Microplastics 2023 5 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count.
Tim Kiefer, Martin Knöll, Andreas Fath, Andreas Fath

Summary

Researchers compared microplastic detection yields using three different mesh-sized filtration methods (20, 65, and 105 µm) in surface waters of the Danube River delta, and also analyzed microplastic distribution across three depth levels. They found a negative logarithmic correlation between mesh size and detected particle count, with concentrations ranging from 46 particles per liter at 105 µm to 2,677 per liter at 20 µm, with polyethylene terephthalate as the most abundant polymer.

Polymers
Study Type Environmental

This study investigates the impact different mesh-sized filtration methods have on the amount of detected microplastics in the surface water of the Danube River delta. Further, the distribution of microplastics in different size categories (20 µm, 65 µm, 105 µm) and in the water column (0 m, 3 m, 6 m) was analyzed. Our findings show that the Danube River carries 46 p∙L−1 (microplastic particles per liter) with a size larger than 105 µm, 95 p∙L−1 larger than 65 µm and 2677 p∙L−1 that are larger than 20 µm. This suggests a negative logarithmic correlation between mesh size and particle amount. The most abundant polymer throughout all samples was polyethylene terephthalate, followed by polytetrafluorethylene. Overall, the data shows that different sampling methods cannot be compared directly. Further research is needed to find correlations in particle sizes for better comparison between different sampling methods.

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