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Real-Time Visualization of Infiltration and Retention of Microplastics with Different Shapes in Porous Media
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Researchers used an improved refractive index matching method to visualize in real time how microplastics of different shapes infiltrate and become retained in porous media under water flow. They found that spherical microplastics penetrated deepest with the most vertical trajectories, while cylindrical and flaky particles showed more lateral movement and frequent deceleration. The study reveals how microplastic shape significantly influences their transport behavior in soil-like environments.
Infiltration and retention of microplastics in porous media are important for understanding their fate in environments and formulating treatment measures. Given porous media opacity, knowledge is usually obtained indirectly by monitoring microplastic concentration in the effluent and measuring microplastic distribution after removing grains in layers. In this study, real-time visualization of infiltration and retention of microplastics in porous media under vertical water flow is performed using an improved reflective index matching method, considering the different shapes and densities of microplastics and size ratios between microplastics and grains. The spherical microplastics have the largest infiltration depths, with trajectories closest to vertical and accompanied by long acceleration durations and low deceleration frequencies. The cylindrical microplastics deviate from vertical and have stronger transverse oscillations and more frequent decelerations, while the flaky microplastics have the most significant transverse displacements. The infiltration depth can be improved by reducing the size ratio between microplastics and grains and increasing the vertical flow rate, while the density of microplastics has a relatively limited effect. Sliding and rotating of microplastics after collision with grains are observed, responsible for deceleration and transverse displacements. Different retention patterns are found, with the number of types being inversely proportional to the number of principal dimensions of the shape.
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