Enabling quantitative and ultrasensitive SERS-based analysis of polystyrene nanoplastics in complex aqueous matrices with Ag/Ti3C2Tx (MXene)

Quantitative detecting low concentration polystyrene nanoplastics in aquatic environments via an Ag/Nb2CT (MXene) SERS substrate

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Researchers fabricated an Ag nanoparticle-decorated MXene composite SERS substrate that detects polystyrene nanoplastics down to 10 mg/mL in lake water with high accuracy and recovery rates of 95–107%, and can distinguish nanoplastic types in mixtures using their Raman fingerprint spectra.

Breaking theSize Barrier: SERS-Based UltrasensitiveDetection and Quantification of Polystyrene Plastics in Real WaterSamples

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Researchers introduced a SERS-based detection platform capable of identifying and quantifying polystyrene plastic particles of diverse sizes in real water samples with ultrasensitive detection limits, offering a practical tool for environmental microplastic monitoring.

Sensitive and specific capture of polystyrene and polypropylene microplastics using engineered peptide biosensors.

Size- and matrix-independent SERS quantification of polystyrene nanoplastics using interfacially assembled AgNPs@CTAB films

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Researchers fabricated a two-phase interfacially assembled silver nanoparticle SERS substrate that quantifies polystyrene nanoplastics across the 29–100 nm size range without size-dependent bias, achieving detection limits as low as 0.049 µg/mL with strong reproducibility across tap, river, drinking, and seawater matrices.

Modified hydrogel for high efficiency SERS detection and adsorption removal of microplastics

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Researchers developed a modified hydrogel material capable of both detecting and capturing microplastics using surface-enhanced Raman spectroscopy (SERS). The hydrogel's porous structure allows it to adsorb microplastic particles from water while SERS provides sensitive, rapid identification of plastic types. This dual-function approach offers a promising tool for environmental monitoring and microplastic removal from water systems.