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Transport behavior of microplastics in soil‒water environments and its dependence on soil components

Environmental Pollution 2024 27 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count.
Liheng Xu, Yuhao Wang, Fang Wei, Zhixi Dai, Ming Zhang

Summary

Researchers studied how polystyrene microplastics move through columns packed with different soil components and found that soil organic matter allowed the highest transport efficiency, with over 90 percent of particles passing through. Electrostatic repulsion between the negatively charged microplastics and soil particles was a key factor driving migration. The results suggest that soil composition plays a major role in determining how far microplastics can travel underground toward water sources.

Polymers
Study Type Environmental

Microplastic (MP) pollution has become a global concern, and the transport behavior of MPs in soil-water systems is vital in determining their distribution and potential risks to the subsurface environment. To reveal the role of various soil components on MP migration, the downward transport behavior of polystyrene (PS) MPs were explored in this study via column experiments with mono or multi-soil components as porous media. Compared with the selected soil mineral volcanic rock (VR) and fine river sand (RS), condensed soil organic matter (SOM) resulted in higher transport efficiencies for PS microparticles, with greater than 90% total mass recovery under the experimental conditions. The more surface charges of SOM than minerals contribute to the high migration efficiency of PS MPs, and electrostatic repulsion is assumed a significant driving mechanism in the migration of negatively charged PS particles in soils. The ionic strength of porewater influenced the PS migration behaviors by altering the electrostatic interactions between the MPs and soil grains. The uniform mixing of SOM with mineral grains significantly enhanced the transport efficiency of PS MPs in the columns. The results provide supports for the prediction and prevention of the risks of MPs to the subsurface environment.

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