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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 Gut & Microbiome Nanoplastics Remediation Sign in to save

Counting Nanoplastics in Environmental Waters by Single Particle Inductively Coupled Plasma Mass Spectroscopy after Cloud-Point Extraction and <i>In Situ</i> Labeling of Gold Nanoparticles

Environmental Science & Technology 2021 84 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.
Qingcun Li, Qingcun Li, Qingcun Li, Qingcun Li, Qingcun Li, Qingcun Li, Yujian Lai, Yujian Lai, Yujian Lai, Qingcun Li, Qingcun Li, Qingcun Li, Qingcun Li, Qingcun Li, Qingcun Li, Sujuan Yu, Sujuan Yu, Peng Li, Peng Li, Qingcun Li, Qingcun Li, Yujian Lai, Yujian Lai, Sujuan Yu, Sujuan Yu, Yujian Lai, Yujian Lai, Yujian Lai, Yujian Lai, Yujian Lai, Lijie Dong, Jingfu Liu Lijie Dong, Lijie Dong, Lijie Dong, Lijie Dong, Qingcun Li, Qingcun Li, Qingcun Li, Lijie Dong, Lijie Dong, Sujuan Yu, Sujuan Yu, Yujian Lai, Sujuan Yu, Jingfu Liu Qingcun Li, Qingcun Li, Qingcun Li, Qingcun Li, Peng Li, Zhineng Hao, Sujuan Yu, Sujuan Yu, Sujuan Yu, Qingcun Li, Qingcun Li, Zhineng Hao, Peng Li, Peng Li, Yujian Lai, Sujuan Yu, Qingcun Li, Sujuan Yu, Qingcun Li, Jingfu Liu Qingcun Li, Qingcun Li, Qingcun Li, Sujuan Yu, Peng Li, Qingcun Li, Sujuan Yu, Yujian Lai, Sujuan Yu, Qingcun Li, Qingcun Li, Qingcun Li, Sujuan Yu, Yujian Lai, Zhineng Hao, Yujian Lai, Qingcun Li, Zhineng Hao, Peng Li, Yujian Lai, Jingfu Liu Jingfu Liu Jingfu Liu Jingfu Liu Jingfu Liu Jingfu Liu Yujian Lai, Yujian Lai, Sujuan Yu, Jingfu Liu Jingfu Liu Sujuan Yu, Sujuan Yu, Sujuan Yu, Sujuan Yu, Sujuan Yu, Sujuan Yu, Sujuan Yu, Zhineng Hao, Sujuan Yu, Sujuan Yu, Sujuan Yu, Sujuan Yu, Sujuan Yu, Sujuan Yu, Sujuan Yu, Zhineng Hao, Sujuan Yu, Sujuan Yu, Sujuan Yu, Sujuan Yu, Lijie Dong, Jingfu Liu Jingfu Liu Jingfu Liu Jingfu Liu Jingfu Liu Sujuan Yu, Jingfu Liu Zhineng Hao, Zhineng Hao, Sujuan Yu, Sujuan Yu, Sujuan Yu, Jingfu Liu Jingfu Liu Jingfu Liu Jingfu Liu Jingfu Liu Jingfu Liu Yujian Lai, Jingfu Liu Jingfu Liu Jingfu Liu Jingfu Liu Jingfu Liu Jingfu Liu Jingfu Liu Jingfu Liu Jingfu Liu

Summary

Researchers developed a cloud-point extraction and in-situ gold nanoparticle labeling method combined with single particle ICP-MS to count nanoplastics down to 50 nm in environmental water samples, enabling quantification of nanoplastics previously undetectable by conventional methods.

Polymers

The globally raising concern for nanoplastics (NPs) pollution calls for analytical methods for investigating their occurrence, fates, and effects. Counting NPs with sizes down to 50 nm in real environmental waters remains a great challenge. Herein, we developed a full method from sample pretreatment to quantitative detection for NPs in environmental waters. Various NPs of common plastic types and sizes (50-1200 nm) were successfully labeled by <i>in situ</i> growth of gold nanoparticles and counted by single particle inductively coupled plasma mass spectrometry. Sucrose density gradient centrifugation enables the isolation of gold-labeled NPs from homogeneously nucleated Au nanoparticles, enhancing the particle number detection limit to 4.6 × 10<sup>8</sup> NPs/L for 269 nm spherical polystyrene NPs. For real environmental water samples, the pretreatment of acid digestion with a mixture of 5 mM HNO<sub>3</sub> and 40 mM HF eliminates the coexisting inorganic nanoparticles, while the following dual cloud-point extraction efficiently isolates NPs from various matrices and thus improves the Au-labeling efficiency. The high spiked recoveries (72.9%-92.8%) of NPs in different waters demonstrated the applicability of this method in different scenarios.

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