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Hydrogen Bonding-BasedSERS Method for the Ultrahigh-SensitiveDetection of Nanoplastics in Water

Figshare 2025 Score: 38 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Jun-Jie Yu (10307807), Cheng-Ye Xi (11413647), Han-Bin Xu (13919840), Yi Wang (32470), Yi-Zhou Lv (22297702), Hua-Ying Chen (8070914), Da-Wei Li (268649)

Summary

Researchers developed a hydrogen bonding-based SERS strategy using cysteine-modified silver nanoparticles for ultratrace detection of polystyrene nanoplastics in water, achieving detection limits of 50 ng/L and a linear dynamic range spanning 2-3 orders of magnitude across particle sizes of 50-800 nm. Spike-and-recovery experiments in tap water yielded recoveries of 86.7-106.6%, confirming the method's applicability to real water samples.

Polymers

Surface-enhanced Raman spectroscopy (SERS) has emerged as a promising analytical tool for environmental risk assessment in recent years. However, it is still a challenge to achieve ultrahigh sensitive detection of nanoplastics. Herein, we propose a hydrogen bond-driven strategy for the ultratrace detection of polystyrene (PS) nanoplastics. With cysteine (Cys) modified, the silver nanoparticle (Ag NP) surface background interference can be removed. Depending on the intermolecular hydrogen bond between Cys and PS, Ag NPs can be effectively attached to PS to provide abundant hot spots. Thus, highly sensitive detection can be achieved for PS in the range of 50–800 nm with a detection limit as low as 50 ng L–1 and a linear dynamic range spanning 2–3 orders of magnitude. In spike-and-recovery experiments utilizing tap water, standard PS demonstrates recoveries ranging from 86.7% to 106.6%. Moreover, PS isolated from packaging materials exhibited a mass concentration of 3 mg L–1 consistent with commercial nanoparticle tracking analysis. The proposed strategy demonstrates ultralow detection limits, expected accuracy, and a broad linear range, thereby providing a novel analytical framework for monitoring nanoplastics contamination in water.

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