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Optimization of a Sequential Method for Microplastic Extraction from Environmental Samples
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Researchers optimized a sequential density separation method using water followed by sodium polytungstate for extracting microplastics from environmental soil samples, achieving higher recovery rates than conventional single-step approaches—particularly for small and high-density particles that are typically underestimated. Improving extraction accuracy is essential for generating reliable contamination data, as underestimation of microplastic loads in soil can obscure the true scale of terrestrial pollution.
Environmental contamination by microplastics (MPs) is well documented, with potential for large-scale contamination. Public concern over the environmental impacts of MPs has led to a drastic increase in research on MP analysis; however, it is still necessary to expand existing datasets and to improve the accuracy and reliability of analytical methods. Here, we investigated a set of potential sequential step extraction methods, aiming to identify the most effective combination of density separation chemicals for maximizing MP recovery efficiency. Among these, a sequential method using water followed by sodium polytungstate was selected based on its higher performance in spiked samples, where it demonstrated higher recovery rates than a conventional single-step separation using only the densest solution. The optimized sequential method was then applied to environmental soil samples collected from a hazardous waste collection center in Gainesville, Florida. Results indicated that a greater mass of MPs was recovered using the sequential method, especially small-sized and high-density MPs that are often underestimated. This study demonstrated a sequential density separation approach as a potential effective alternative to traditional single-step methods.
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