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Quantification of trace polystyrene nanoplastics in aquatic environments using hybrid substrates of gold-loaded dendritic mesoporous silica and silver-decorated graphene nanosheets for surface-enhanced Raman scattering analysis

Journal of Hazardous Materials 2025 1 citation ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count.
Xiao Yang, Wanqiong Liu, Liang Yin, Manli Guo, Xiaolin Liang, Jiehui Liang, Y.N. Guo, Shushu Li, Weilong Lu, Wucheng Xie, Jun Wang, Yong Liang

Summary

Researchers developed a surface-enhanced Raman scattering (SERS) detection platform using a hybrid gold-silica and silver-graphene substrate to detect polystyrene nanoplastics in water at concentrations as low as 0.1 μg/mL, achieving 91–109% recovery rates in real lake, ocean, and polluted ditch water samples.

Polymers

A homogeneous SERS platform was developed for detecting polystyrene nanoplastics (PS NPs) using an Au@DMSN/Ag@GNS substrate. This substrate combines electrostatically assembled dendritic mesoporous silica nanospheres (DMSN) functionalized with Au NPs and graphene nanosheets (GNS) decorated with Ag NPs. Systematic optimization revealed interfacial interaction mechanisms between the substrate and PS NPs, achieving enhanced detection performance. The platform demonstrated a linear response (R=0.996) for 200-500 nm PS NPs with a 3.70 × 10 enhancement factor and 0.1 μg/mL detection limit. The substrate's fingerprinting capability enabled differentiation of two-component NPs, while maintaining excellent stability and anti-interference across detection sites. Practical application in lake water samples showed 91.18 %-109.27 % recovery rates with 3.24 %-11.66 % RSDs. The system successfully detected low-concentration PS NPs with broad size distributions in diverse aqueous environments (lakes, oceans, and polluted ditch waters), effectively tackling challenges posed by moderate NP sizing heterogeneity under real-world conditions. This work advances hotspot engineering strategies for SERS substrates through rational 2D/3D structural design, offering a promising solution for environmental NP monitoring.

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