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Article ? AI-assigned paper type based on the abstract. Classification may not be perfect — flag errors using the feedback button. Tier 2 ? Original research — experimental, observational, or case-control study. Direct primary evidence. Detection Methods Environmental Sources Marine & Wildlife Nanoplastics Remediation Sign in to save

Evaluating the Occurrence of Polystyrene Nanoparticles in Environmental Waters by Agglomeration with Alkylated Ferroferric Oxide Followed by Micropore Membrane Filtration Collection and Py-GC/MS Analysis

Environmental Science & Technology 2022 67 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 45 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Sujuan Yu, Qingcun Li, Qingcun Li, Sujuan Yu, Qingcun Li, Qingcun Li, Qingcun Li, Qingcun Li, Qingcun Li, Qingcun Li, Peng Li, Yujian Lai, Sujuan Yu, Yujian Lai, Yujian Lai, Yujian Lai, Yujian Lai, Yujian Lai, Qingcun Li, Sujuan Yu, Qingcun Li, Qingcun Li, Qingcun Li, Qingcun Li, Qingcun Li, Peng Li, Qingcun Li, Xing Liu, Qingcun Li, Qingcun Li, Yujian Lai, Yujian Lai, Jingfu Liu Yujian Lai, Yujian Lai, Xing Liu, Sujuan Yu, Qingcun Li, Qingcun Li, Jingfu Liu Qingcun Li, Sujuan Yu, Sujuan Yu, Yujian Lai, Qingcun Li, Qingcun Li, Sujuan Yu, Sujuan Yu, Sujuan Yu, Peng Li, Qingcun Li, Qingcun Li, Qingcun Li, Sujuan Yu, Sujuan Yu, Xing Liu, Jingfu Liu Peng Li, Yujian Lai, Peng Li, Qingcun Li, Qingcun Li, Sujuan Yu, Peng Li, Qingcun Li, Qingcun Li, Qingcun Li, Yujian Lai, Jingfu Liu Jingfu Liu Yujian Lai, Yujian Lai, Jingfu Liu Jingfu Liu Sujuan Yu, Sujuan Yu, Jingfu Liu Yujian Lai, Yujian Lai, Yujian Lai, Jingfu Liu Qingcun Li, Qingcun Li, Peng Li, Ziwei Yao, Sujuan Yu, Qingcun Li, Sujuan Yu, Sujuan Yu, Sujuan Yu, Sujuan Yu, Sujuan Yu, Sujuan Yu, Sujuan Yu, Sujuan Yu, Sujuan Yu, Sujuan Yu, Jingfu Liu Sujuan Yu, Jingfu Liu Jingfu Liu Sujuan Yu, Sujuan Yu, Sujuan Yu, Sujuan Yu, Jingfu Liu Sujuan Yu, Sujuan Yu, Sujuan Yu, Sujuan Yu, Jingfu Liu Xing Liu, Xing Liu, Xing Liu, Xing Liu, Jingfu Liu Sujuan Yu, Sujuan Yu, Sujuan Yu, Jingfu Liu Jingfu Liu Jingfu Liu Jingfu Liu Jingfu Liu Sujuan Yu, Ziwei Yao, Jingfu Liu Ziwei Yao, Jingfu Liu Jingfu Liu Jingfu Liu Yujian Lai, Jingfu Liu Jingfu Liu Jingfu Liu Jingfu Liu Jingfu Liu Jingfu Liu Jingfu Liu Jingfu Liu

Summary

Researchers developed a sensitive detection method using alkylated iron oxide nanoparticles to capture nanoplastics from water for analysis by pyrolysis-GC/MS, achieving detection limits of 0.02-0.03 micrograms per liter. Polystyrene nanoplastics were detected in 11 of 15 environmental water samples at concentrations up to 0.73 micrograms per liter, confirming their widespread presence.

Polymers

Although nanoplastics (NPs) are recognized as emerging anthropogenic particulate pollutants, the occurrence of NPs in the environment is rarely reported, partly due to the lack of sensitive methods for the concentration and detection of NPs. Herein, we present an efficient method for enriching NPs of different compositions and various sizes. Alkylated ferroferric oxide (Fe<sub>3</sub>O<sub>4</sub>) particles were prepared as adsorbents for highly efficient capture of NPs in environmental waters, and the formed large Fe<sub>3</sub>O<sub>4</sub>-NP agglomerates were separated by membrane filtration. Detection limits of 0.02-0.03 μg/L were obtained for polystyrene (PS) and poly(methyl methacrylate) (PMMA) NPs by detection with pyrolysis-gas chromatography-mass spectrometry (Py-GC/MS). When analyzing real water samples from different sources, it is remarkable that PS NPs were detected in 11 out of 15 samples with concentrations ranging from <0.07 to 0.73 μg/L, while PMMA were not detected. The wide detection of PS NPs in our study confirms the previous speculation that NPs may be ubiquitous in the environmental waters. The accurate quantification of PS NPs in environmental waters make it possible to monitor the pollution status of NPs in aquatic systems and evaluate their potential risks.

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