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Characterization of Microplastics in Clouds over Eastern China

Environmental Science & Technology Letters 2023 33 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count.
Xinmiao Xu, Tao Li, Jiebo Zhen, Yuqian Jiang, Yuqian Jiang, Xiaoling Nie, Yan Wang, Xian-Zheng Yuan, Huiting Mao, Xinfeng Wang, Likun Xue, Jianmin Chen

Summary

Researchers collected cloud water samples from a mountain in eastern China and found an average of 463 microplastic particles per liter, with 60% smaller than 100 micrometers. The study found that surface roughening from photochemical aging likely increased the microplastics' ability to adsorb toxic metals such as lead and mercury. Evidence indicates that airborne microplastics may influence atmospheric metal cycles and cloud formation processes.

Airborne microplastics (MPs) have the potential to travel a long distance and undergo several cloud processes through atmospheric transport. However, little is known about the interactions between MPs and clouds. Here, we present field evidence for the presence of abundant and various MPs in cloudwater samples collected at Mt. Tai (1545 m asl.) in eastern China, with an average concentration of 463 MP L–1 in cloudwater, i.e., 0.21 MP m–3 in air. The cloud MPs had a broad size range of 8–1542 μm with 60% being smaller than 100 μm and dominant shapes of fragments with diverse polymers and darker colors. The concentrations of MPs were influenced by cloud liquid water content, source regions, and trajectory height, while the shapes and sizes appeared to be associated with long-range transport or localized sources. The roughened surface of cloud MPs indicated photochemical aging, which likely increased their adsorption capability for toxic metals (e.g., Pb, Hg) as confirmed by laboratory photoaging and adsorption simulations in ambient air, ultrapure water, and cloudwater. More research is needed to understand microplastic–cloud interactions and the potential impacts on atmospheric metal cycles and cloud formation.

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