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Liquid Interfacial Coassembly of Plasmonic Arrays and Trace Hydrophobic Nanoplastics in Edible Oils for Robust Identification and Classification by Surface-Enhanced Raman Spectroscopy

Journal of Agricultural and Food Chemistry 2023 12 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.
Cheng Qu, Xian Wang, Fanfan Yu, Fanfan Yu, Cheng Qu, Cheng Qu, Zhongxiang Ding, Cheng Qu, Cheng Qu, Cheng Qu, Cheng Qu, Fanfan Yu, Xian Wang, Fanfan Yu, Zhongxiang Ding, Liqin Zheng, Honglin Liu Liqin Zheng, Mengke Su, Mengke Su, Mengke Su, Honglin Liu Honglin Liu

Summary

Researchers developed a surface-enhanced Raman spectroscopy method that uses liquid interface coassembly of gold nanoparticles to detect trace amounts of nanoplastics in edible oils and aqueous environments. The technique achieved detection limits at the microgram-per-milliliter level and, combined with principal component analysis, enabled differentiation and classification of multiple nanoplastic types.

The ubiquity of micro-/nanoplastics poses a visible threat to the environment, aquatic organisms, and human beings and has become a global concern. Here, we proposed a liquid interface-based strategy using surface-enhanced Raman spectroscopy to coassemble nanoplastics and gold nanoparticles into a dense and homogeneous plasmonic array, thereby enabling the rapid and sensitive detection of trace nanoplastics. In addition, due to the uniqueness of the oil-water immiscible two-phase interface, we achieved ideal results for the detection of nanoplastics in a complex matrix (e.g., aqueous environment and edible oil) with a detection limit of μg/mL. With the aid of the principal component analysis algorithm, the differentiation and identification of multiple nanoplastic components (e.g., polystyrene, polyethylene, and polyethylene terephthalate) in aqueous environments and common hazards (e.g., Bap and Phe) in edible oil were achieved. Therefore, our self-assembled plasmonic arrays are expected to be used for monitoring environmental pollution and food safety.

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