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61,005 resultsShowing papers similar to Quantitative detecting low concentration polystyrene nanoplastics in aquatic environments via an Ag/Nb2CT (MXene) SERS substrate
ClearQuantification 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
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.
Identification of polystyrene nanoplastics using surface enhanced Raman spectroscopy
Researchers demonstrated for the first time that surface-enhanced Raman spectroscopy (SERS) using silver nanoparticles can identify polystyrene nanoplastics as small as 50 nm in real water samples, providing a rapid detection method that bypasses conventional sample preparation and could advance environmental monitoring of nanoplastics previously invisible to standard analytical techniques.
One-step detection of nanoplastics in aquatic environments using a portable SERS chessboard substrate
Researchers developed a portable surface-enhanced Raman scattering (SERS) detection platform that captures and identifies nanoplastics from water samples in under one minute using silver nanoparticle-enhanced filter substrates, achieving a detection limit of 0.001 mg/mL for polystyrene nanoplastics across sizes from 30 to 1000 nm.
Highly sensitive superhydrophobic SERS substrate combined with machine learning for precise identification and classification of nanoplastics
Researchers fabricated a superhydrophobic surface-enhanced Raman scattering (SERS) substrate that concentrates nanoplastics in a tiny detection zone, then combined it with machine learning to identify seven types of nanoplastics in real lake water with 99.88% accuracy, offering a practical high-throughput environmental monitoring approach.
Breaking the Size Barrier: SERS-Based Ultrasensitive Detection and Quantification of Polystyrene Plastics in Real Water Samples
Researchers developed a surface-enhanced Raman spectroscopy (SERS) method capable of detecting and quantifying polystyrene plastic particles of various sizes — including nanoplastics — in real environmental water samples at ultrasensitive concentrations.
Direct Detection of Polystyrene Nanoplastics in Water Using High-sensitivity Surface-enhanced Raman Scattering with Ag Nanoarray Substrates
Researchers developed a fast, sensitive detection method using silver nanostructures and laser light scattering (surface-enhanced Raman scattering) to identify polystyrene nanoplastics in water at concentrations as low as 10 micrograms per milliliter, offering a practical tool for monitoring nanoplastic contamination in real-world water sources.
Superhydrophobic Surface-Enhanced Raman Spectroscopy (SERS) Substrates for Sensitive Detection of Trace Nanoplastics in Water
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.
Honeycomb-like AgNPs@TiO2 array SERS sensor for the quantification of micro/nanoplastics in the environmental water samples
Researchers developed a honeycomb-like silver nanoparticle and titanium dioxide array sensor using surface-enhanced Raman scattering for detecting micro- and nanoplastics in environmental water. The sensor could identify polystyrene microplastics at concentrations as low as 100 micrograms per milliliter across tap water, lake water, soil water, and seawater, with recovery rates ranging from 97.6% to 109.7%.
Nanostructured Raman substrates for the sensitive detection of submicrometer-sized plastic pollutants in water
Researchers developed nanostar-dimer-embedded nanopore substrates for surface-enhanced Raman scattering (SERS) and showed they can detect submicron polystyrene microplastic particles as small as 0.4 micrometers at concentrations of 50 ppm within minutes and without sample pretreatment, offering a sensitive and rapid analytical tool for detecting the smallest plastic pollutants in water.
A Highly Sensitive SERS Substrate for Detection of Nanoplastics in Water
Researchers developed a highly sensitive SERS-based substrate for detecting nanoplastic particles in water at very low concentrations. Improved detection tools for nanoplastics are essential for monitoring their presence in drinking water and understanding exposure risks to human health.
Breaking theSize Barrier: SERS-Based UltrasensitiveDetection and Quantification of Polystyrene Plastics in Real WaterSamples
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.
Hydrophobicity-driven self-assembly of nanoplastics and silver nanoparticles for the detection of polystyrene microspheres using surface enhanced Raman spectroscopy
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.
In situ surface-enhanced Raman spectroscopy for the detection of nanoplastics: A novel approach inspired by the aging of nanoplastics
Researchers developed a novel in-situ SERS (surface-enhanced Raman scattering) detection method for nanoplastics that exploits UV photoaging to generate silver nanoparticles directly on particle surfaces, enabling highly sensitive identification of polystyrene, PVC, and PET nanoplastics in real lake water samples at concentrations as low as 1 × 10⁻⁶ mg/mL.
Efficient silver-based hybrid nano-assemblies for polystyrene nanoparticles SERS detection
Researchers built nanoscale silver-silicon hybrid platforms that can detect polystyrene nanoplastics using a technique called surface-enhanced Raman spectroscopy. The platforms achieved high sensitivity with detection limits in the microgram-per-milliliter range. The technology offers a promising approach for identifying nanoscale plastic particles that are too small for conventional detection methods.
Hetero-charge-based surface enhanced Raman spectroscopy: An in situ rapid detection strategy for real marine nanoplastics
Researchers developed an in situ SERS detection method using oppositely charged gold nanoparticles to capture and identify nanoplastics directly in seawater without filtration or drying, achieving a detection limit of 0.1 µg/mL in artificial seawater and successfully identifying polystyrene in a real marine sample.
Silver nanostars arrayed on GO/MWCNT composite membranes for enrichment and SERS detection of polystyrene nanoplastics in water
Scientists developed a specialized filter membrane using silver nanostars on a graphene composite that can capture and detect polystyrene nanoplastics in water down to extremely low concentrations. The membrane caught 97% of 50-nanometer plastic particles and enabled detection using Raman spectroscopy, a technique that identifies materials by their molecular fingerprint. This portable detection system could help monitor nanoplastic contamination in drinking water and environmental samples.
In situ surface-enhanced Raman spectroscopy for detecting microplastics and nanoplastics in aquatic environments
This study evaluated surface-enhanced Raman spectroscopy (SERS) as a method for detecting and identifying microplastics and nanoplastics in aquatic environments, demonstrating its potential for detecting particles too small for conventional spectroscopy while noting remaining challenges for field deployment.
Meniscus‐Confined 3D Printed Nanoparticles: A Comparative Study of Quantitative SERS Detection of Microplastics
Detecting microplastics accurately in environmental samples is technically challenging, and this study introduces a new approach using 3D-printed silver and gold nanoparticle surfaces that amplify the light signal from microplastics when analyzed by Raman spectroscopy. Both types of printed substrates could detect plastic particles at concentrations as low as 0.3–1.2 micrograms per milliliter, with high reproducibility across dozens of repeated measurements. This technology could make routine, sensitive microplastic monitoring faster and more practical for environmental agencies and researchers.
Direct On-AnalyteFabrication of Au Nanoparticlesfor Substrate-Free SERS Detection of Micro and Nanoplastics
Researchers developed a substrate-free SERS detection method using direct on-analyte fabrication of gold nanoparticles to identify micro- and nanoplastic particles at extremely low concentrations in complex environmental matrices. The approach leverages characteristic Raman fingerprints of plastic polymers without requiring conventional fixed substrates, enabling more flexible and sensitive detection.
Advanced microplastic monitoring using Raman spectroscopy with a combination of nanostructure-based substrates
Researchers reviewed advances in Raman spectroscopy and surface-enhanced Raman scattering (SERS) — a technique that amplifies light signals using metallic nanostructures — for detecting micro- and nanoplastics at trace concentrations in environmental samples, highlighting new plasmonic materials, 3D substrates, and microfluidic chip platforms that enable on-site monitoring.
On-Site Detection of Nanoplastics in Liquid Phase by SERS Method
Researchers developed an on-site detection method for nanoplastics in liquid samples using surface-enhanced Raman spectroscopy (SERS), achieving sensitive identification without the laboratory infrastructure required by conventional GC-MS approaches. The SERS method successfully differentiated nanoplastic types in environmental water samples, offering a practical tool for rapid field-deployable nanoplastic monitoring.
Detection of nanoplastics based on surface-enhanced Raman scattering with silver nanowire arrays on regenerated cellulose films
Surface-enhanced Raman scattering substrates made from silver nanowires deposited on regenerated cellulose films achieved sensitive detection of nanoplastic particles including polystyrene and polymethylmethacrylate at concentrations in the nanogram-per-liter range, demonstrating a practical SERS platform for environmental nanoplastic monitoring.
A Scalable Synthesis of Ag Nanoporous Film As an Efficient SERS-Substrates for Sensitive Detection of Nanoplastics
Researchers developed a new sensor using silver nanoparticles that can detect nanoplastics at very low concentrations using a technique called SERS (surface-enhanced Raman spectroscopy). The sensor could identify tiny polystyrene particles down to 50 nanometers in size. Better detection tools like this are essential for monitoring nanoplastic contamination in food and water, since current methods often miss the smallest and potentially most dangerous plastic particles.
Quantitative and sensitive analysis of polystyrene nanoplastics down to 50 nm by surface-enhanced Raman spectroscopy in water
Researchers developed a highly sensitive method using surface-enhanced Raman spectroscopy to detect and quantify polystyrene nanoplastics as small as 50 nanometers in water samples. The technique achieved detection limits far below what conventional methods can measure, enabling the identification of nanoplastics at environmentally relevant concentrations. This advancement addresses a critical gap in nanoplastic monitoring, as most existing methods cannot reliably detect particles at such small sizes.