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Co-Self-Assembled Monolayer Enables Sensitive SERS Detection of Nanoplastics via Spontaneous Hotspot Entrapment
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Researchers developed a new detection method that can identify and measure nanoplastics at concentrations as low as 0.01 micrograms per milliliter by trapping the tiny particles within a single layer of silver nanoparticles. The technique uses surface-enhanced Raman scattering, which amplifies the chemical signal of nanoplastics that are spontaneously captured in the detection hotspots. This approach offers a faster and more sensitive way to monitor nanoplastic pollution in water compared to existing methods.
Identification and quantitative analysis of nanoplastics (NPs) in the environment are extremely challenging. Surface-enhanced Raman scattering (SERS) is a promising technique, but conventional solid SERS substrate-based detection faces difficulties such as ensuring NPs make contact with hotspots, dealing with uneven particle distribution, and poor detection repeatability. Herein, we propose a simple and sensitive SERS detection strategy by co-self-assembling silver (Ag) nanoparticles and NPs in a monolayer. 90% of NPs in solution spontaneously transfer to the monolayer within 30 s. More importantly, a single NP can be uniformly entrapped in Ag nanoparticle SERS "hotspots", resulting in a significant enhancement of the intrinsic Raman signal. This enhancement enables quantitative detection in the range of 10-2-2 mg/L for 80, 300, and 800 nm polystyrene (PS) NPs, with a low detection limit of 10-2 mg/L. The method allows for the identification of various plastic types, including PS, poly(methyl methacrylate) (PMMA), polyethylene terephthalate (PET), and polyformaldehyde (POM). This method was used to determine the efficacy of NP generation from bulk PS foam through physical (sand friction) and biological (mealworm ingestion) routes. Moreover, NPs in real seawater collected from a rocky beach were quantitatively analyzed. The coassembly monolayer-based SERS detection provides a straightforward and sensitive technique for identification and quantitative analysis of NPs.
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Co-Self-AssembledMonolayer Enables Sensitive SERSDetection of Nanoplastics via Spontaneous Hotspot Entrapment
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Researchers developed a SERS detection strategy for nanoplastics using co-self-assembly of silver nanoparticles and nanoplastic particles into a monolayer, enabling 90% of nanoplastics in solution to transfer to the monolayer within 30 seconds and become uniformly entrapped in plasmonic hotspots. The method achieved quantitative detection of 80, 300, and 800 nm polystyrene nanoplastics in the range of 0.01-2 mg/L with a detection limit in the microgram-per-litre range.
Superhydrophobic Surface-Enhanced Raman Spectroscopy (SERS) Substrates for Sensitive Detection of Trace Nanoplastics in Water
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Researchers developed a new method to detect extremely small nanoplastics in water by combining a water-repelling surface that concentrates particles with a technique called SERS that amplifies their chemical signal. The method can identify common nanoplastics like polystyrene and PMMA at very low concentrations, which is an important step toward monitoring these tiny pollutants that are difficult to detect with current tools.
Hydrophobicity-driven self-assembly of nanoplastics and silver nanoparticles for the detection of polystyrene microspheres using surface enhanced Raman spectroscopy
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Researchers developed a highly sensitive method for detecting nanoplastic particles using surface-enhanced Raman spectroscopy (SERS) on a super-hydrophobic (water-repelling) surface that concentrates the particles into a small spot. The technique detected polystyrene nanoplastics at concentrations as low as 0.5 mg/L, far below what conventional approaches can achieve. Better detection tools for nanoplastics are urgently needed since these ultra-small particles are the hardest to find yet potentially the most biologically hazardous fraction of plastic pollution.
Imaging and Identification of Single Nanoplastic Particles and Agglomerates
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Researchers developed a surface-enhanced Raman scattering (SERS) technique capable of imaging and identifying individual nanoplastic particles as small as 100 nm. The method provides a powerful new tool for detecting nanoplastics at the single-particle level, which is critical for understanding the full scope of plastic pollution.
Rapid detection of nanoplastics down to 20 nm in water by surface-enhanced raman spectroscopy
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Researchers developed a silver nanoparticle-based surface-enhanced Raman spectroscopy method that can detect nanoplastics as small as 20 nanometers in water samples. By leveraging the natural aggregation between silver nanoparticles and plastic particles, they significantly amplified the detection signal without complex sample preparation. The technique offers a rapid and practical approach for identifying nanoplastic contamination in environmental water samples.
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