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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 Nanoplastics Sign in to save

In situ surface-enhanced Raman spectroscopy for the detection of nanoplastics: A novel approach inspired by the aging of nanoplastics

The Science of The Total Environment 2024 14 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 50 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Xiaoxin Huang, Wenhui Xu, Chengyong Li Min Chang, Wenhui Xu, Chengyong Li Min Chang, Min Chang, Jinchan Huang, Chengyong Li Xiaoxin Huang, Jinchan Huang, Meilin Lu, Meilin Lu, Chengyong Li Xiaoxin Huang, Yu Liu, Guangzheng Jiang, Guangzheng Jiang, Chunxia Zhou, Chunxia Zhou, Chunxia Zhou, Guangzheng Jiang, Xiaoxin Huang, Chengyong Li Xiaoxin Huang, Guangzheng Jiang, Pengzhi Hong, Chunxia Zhou, Chunxia Zhou, Chunxia Zhou, Chunxia Zhou, Min Chang, Min Chang, Min Chang, Chengyong Li Chunxia Zhou, Pengzhi Hong, Pengzhi Hong, Pengzhi Hong, Pengzhi Hong, Min Chang, Xiaoxin Huang, Chengyong Li Wenhui Xu, Pengzhi Hong, Chengyong Li Min Chang, Pengzhi Hong, Min Chang, Pengzhi Hong, Zhenqing Dai, Chunxia Zhou, Chengyong Li Chengyong Li Chengyong Li Chengyong Li Chengyong Li Chengyong Li Chengyong Li Chengyong Li Zhenqing Dai, Pengzhi Hong, Pengzhi Hong, Pengzhi Hong, Chunxia Zhou, Chengyong Li Pengzhi Hong, Chengyong Li Chengyong Li Chengyong Li Chengyong Li Chunxia Zhou, Chengyong Li Wenhui Xu, Chengyong Li Chunxia Zhou, Chengyong Li Chengyong Li Chengyong Li Pengzhi Hong, Chunxia Zhou, Chengyong Li Pengzhi Hong, Pengzhi Hong, Chengyong Li Chengyong Li Chengyong Li Chengyong Li Chengyong Li Pengzhi Hong, Wenhui Xu, Chengyong Li Chunxia Zhou, Chengyong Li Chengyong Li Chengyong Li Chengyong Li Chengyong Li Pengzhi Hong, Chengyong Li Chengyong Li Chengyong Li Chengyong Li Chengyong Li

Summary

Researchers developed a novel in-situ SERS (surface-enhanced Raman scattering) detection method for nanoplastics that exploits UV photoaging to generate silver nanoparticles directly on particle surfaces, enabling highly sensitive identification of polystyrene, PVC, and PET nanoplastics in real lake water samples at concentrations as low as 1 × 10⁻⁶ mg/mL.

Nanoplastics (NPs) present a hidden risk to organisms and the environment via migration and enrichment. Detecting NPs remains challenging because of their small size, low ambient concentrations, and environmental variability. There is an urgency to exploit detection approaches that are more compatible with real-world environments. Herein, this study provides a surface-enhanced Raman spectroscopy (SERS) technique for the in situ reductive generation of silver nanoparticles (Ag NPs), which is based on photoaging-induced modifications in NPs. The feasibility of generating Ag NPs on the surface of NPs was derived by exploring the photoaging mechanism, which was then utilized to SERS detection. The approach was applied successfully for the detection of polystyrene (PS), polyvinyl chloride (PVC), and polyethylene terephthalate (PET) NPs with excellent sensitivity (e.g., as low as 1 × 10 mg/mL for PVC NPs, and an enhancement factor (EF) of up to 2.42 × 10 for small size PS NPs) and quantitative analytical capability (R > 0.95579). The method was successful in detecting NPs (PS NPs) in lake water. In addition, satisfactory recoveries (93.54-105.70 %, RSD < 12.5 %) were obtained by spiking tap water as well as lake water, indicating the applicability of the method to the actual environment. Therefore, the proposed approach offers more perspectives for testing real environmental NPs.

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