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Extraction Methods of Microplastics in Environmental Matrices: A Comparative Review

Molecules 2025 5 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count.
Garbiñe Larrea, David Elustondo, A. Durán

Summary

This review compares different methods for extracting microplastics from environmental samples including compost, sediments, soils, sludge, wastewater, and drinking water. Researchers analyze the advantages and limitations of common procedures for drying, organic matter removal, density separation, and filtration. The study provides practical guidance for selecting appropriate extraction protocols based on sample type and the target polymers being investigated.

Study Type Environmental

Due to the growing issue of plastic pollution over recent decades, it is essential to establish well-defined and appropriate methodologies for their extraction from diverse environmental samples. These particles can be found in complex agricultural matrices such as compost, sediments, agricultural soils, sludge, and wastewater, as well as in less complex samples like tap and bottled water. The general steps of MPs extraction typically include drying the sample, sieving to remove larger particles, removal of organic matter, density separation to isolate polymers, filtration using meshes of various sizes, oven drying of the filters, and polymer identification. Complex matrices with high organic matter content require specific removal steps. Most studies employ an initial drying process with temperature control to prevent polymer damage. For removal of organic matter, 30% H2O2 is the most commonly used reagent, and for density separation, saturated NaCl and ZnCl2 solutions are typically applied for low- and high-density polymers, respectively. Finally, filtration is carried out using meshes selected according to the identification technique. This review analyzes the advantages and limitations of the different methodologies to extract microplastics from different sources, aiming to provide in-depth insight for researchers dedicated to the study of environmental samples.

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