Quantifying the Chemical Composition and Real-Time Mass Loading of Nanoplastic Particles in the Atmosphere Using Aerosol Mass Spectrometry

Sining Niu, Ruizhe Liu, Qian Zhao, Sahir Gagan, Alana Dodero, Qi Ying, Xingmao Ma, Zezhen Cheng, Swarup China, Manjula Canagaratna, Yue Zhang

    Research output: Contribution to journalArticlepeer-review

    27 Scopus citations

    Abstract

    Plastic debris, including nanoplastic particles (NPPs), has emerged as an important global environmental issue due to its detrimental effects on human health, ecosystems, and climate. Atmospheric processes play an important role in the transportation and fate of plastic particles in the environment. In this study, a high-resolution time-of-flight aerosol mass spectrometer (HR-ToF-AMS) was employed to establish the first online approach for identification and quantification of airborne submicrometer polystyrene (PS) NPPs from laboratory-generated and ambient aerosols. The fragmentation ion C8H8+ is identified as the major tracer ion for PS nanoplastic particles, achieving an 1-h detection limit of 4.96 ng/m3. Ambient PS NPPs measured at an urban location in Texas are quantified to be 30 ± 20 ng/m3 by applying the AMS data with a constrained positive matrix factorization (PMF) method using the multilinear engine (ME-2). Careful analysis of ambient data reveals that atmospheric PS NPPs were enhanced as air mass passed through a waste incinerator plant, suggesting that incineration of waste may serve as a source of ambient NPPs. The online quantification of NPPs achieved through this study can significantly improve our understanding of the source, transport, fate, and climate effects of atmospheric NPPs to mitigate this emerging global environmental issue.

    Original languageEnglish
    Pages (from-to)3363-3374
    Number of pages12
    JournalEnvironmental Science and Technology
    Volume58
    Issue number7
    DOIs
    StatePublished - Feb 20 2024

    Keywords

    • aerosol mass spectrometer (AMS)
    • multilinear engine (ME-2)
    • nanoplastic particles (NPPs)
    • polystyrene (PS)
    • positive matrix factorization (PMF)
    • real-time measurement

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