We can't find the internet
Attempting to reconnect
Something went wrong!
Hang in there while we get back on track
Papers
61,005 resultsShowing papers similar to Inter-coffee-ring effects boost rapid and highly reliable SERS detection of TPhT on a light-confining structure
ClearRapid and Ultrasensitive Detection of Dioctyltin in Textiles Using Surface-Enhanced Raman Spectroscopy (SERS): Mechanistic Insights and Practical Applications
Researchers developed a surface-enhanced Raman spectroscopy method using Au@Ag core-shell nanoparticles to rapidly detect dioctyltin — a toxic organotin compound used in textiles — achieving a detection limit of 0.1 μg/L with recoveries of 86–108%, offering a faster alternative to conventional GC-MS analysis.
Simultaneous detection of nanoplastics and adsorbed pesticides by surface-enhanced Raman spectroscopy
Researchers used Surface-Enhanced Raman Spectroscopy (SERS) with silver and gold nanoparticles to simultaneously detect nanoplastic particles and pesticides adsorbed onto their surfaces at environmentally relevant concentrations. The technique successfully identified both the plastic carrier and the co-transported contaminant in a single measurement, demonstrating its utility for assessing the combined hazard of nanoplastic-pesticide complexes.
Detection of nanoplastics through low-cost SERS substrates, based on 3D islands of aggregated gold nanoparticles on aluminum foil, for wide ranging applications
Researchers developed a low-cost surface-enhanced Raman spectroscopy (SERS) substrate by combining aluminium foil with 3D aggregates of gold nanoparticles stabilised by cucurbit[5]uril, enabling sensitive nanoplastic detection through plasmonic coupling. The substrate achieved trace-level analyte detection and offers a practical, scalable approach for nanoplastic identification across a wide range of environmental and analytical applications.
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.
SERS of organic analyte on the filter paper with TiO2 ALD coating and Ag nanoparticles
This study investigated how titanium dioxide coatings of different thicknesses on filter paper substrates affect signal detection when using surface-enhanced Raman spectroscopy with silver nanoparticles. Optimizing these substrate materials could improve detection sensitivity for trace organic analytes relevant to environmental monitoring and food safety.
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.
Self-Assembled Three-Dimensional Au Films as Highly Reproducible and “Hotspots”-Rich Substrates for Multiplex SERS Detection
Researchers developed a low-cost method for fabricating three-dimensional gold nanostructured films with highly reproducible SERS hotspots by self-assembly, enabling uniform surface-enhanced Raman detection of trace analytes for environmental monitoring and food safety applications.
Development of SERS metal sensors
This French-language doctoral thesis reviews the development of SERS-based metal sensors for detecting environmental pollutants. Surface-enhanced Raman spectroscopy is an emerging analytical tool for identifying and measuring microplastics and chemical contaminants in environmental samples.
Development of a simple SERS substrate for the detection of pollutants and nanoplastics
Researchers fabricated silver- and gold-coated silicon SERS substrates and demonstrated their ability to detect nanoplastic particles as small as 50 nm by Raman mapping, achieving picomolar sensitivity for model compounds and showing strong potential for environmental monitoring of nanoplastics in food and water.
Sensitive detection of PET and PP nanoplastics in tea beverages using gold nanorod-enhanced SERS: Mechanism, quantification, and safety implications
Researchers developed a gold nanorod-enhanced surface-enhanced Raman spectroscopy method for detecting nanoplastics in tea beverages at very low concentrations. The technique achieved detection limits of 1.4 micrograms per milliliter for polypropylene and 0.46 micrograms per milliliter for PET nanoplastics, significantly outperforming traditional Raman microscopy. The method was successfully validated across green tea, black tea, oolong tea, and jasmine tea samples with high accuracy and repeatability.
High-sensitivity SERS sensor leveraging three-dimensional Ti3C2Tx/TiO2/W18O49 semiconductor heterostructures for reliable detection of trace micro/nanoplastics in environmental matrices
Researchers developed a new sensor that can detect trace amounts of micro- and nanoplastics in environmental samples like rainwater, soil, and wastewater. The sensor uses a layered semiconductor structure to enhance Raman spectroscopy signals, achieving high sensitivity and the ability to identify multiple plastic types at once. This technology could make it faster and more practical to monitor plastic pollution in real-world settings.
Urchin-like covalent organic frameworks templated Au@Ag composites for SERS detection of emerging contaminants
Researchers fabricated gold-silver core-shell composites on urchin-like covalent organic frameworks to create a highly sensitive platform for detecting trace contaminants using Raman spectroscopy. The material successfully detected sulfonamide antibiotics and polystyrene nanoplastics at very low concentrations using a portable spectrometer. The study demonstrates a practical approach for field-based detection of emerging environmental contaminants at parts-per-billion levels.
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.
Surface-enhanced Raman spectroscopy for the detection of microplastics
Researchers developed a surface-enhanced Raman spectroscopy method using gold nanoparticles to detect polystyrene microplastics at concentrations as low as 6.5 micrograms per milliliter, offering a new tool for detecting sub-micron plastic pollutants in water.
Thermoelectrically Driven Dual-Mechanism Regulation on SERS and Application Potential for Rapid Detection of SARS-CoV-2 Viruses and Microplastics
Researchers developed a highly sensitive thermoelectrically driven surface-enhanced Raman scattering (SERS) substrate for detecting trace-level contaminants. The study demonstrated that applying a temperature gradient to the substrate dramatically enhanced detection sensitivity, with potential applications for rapid identification of microplastics and other environmental contaminants at very low concentrations.
Detection of Silver Nanoparticles in Seawater Using Surface-Enhanced Raman Scattering
Researchers developed a surface-enhanced Raman scattering (SERS) detection strategy for silver nanoparticles in seawater, achieving sensitive identification of PVP-coated AgNPs at environmentally relevant concentrations.
Advances in Surface‐Enhanced Raman Spectroscopy for Detection of Aquatic Environmental Pollutants
This review examines surface-enhanced Raman scattering (SERS) as a technique for detecting aquatic pollutants, highlighting its exceptional sensitivity and molecular fingerprinting capability for identifying microplastics and other contaminants at trace concentrations.
Applications of surface‐enhanced Raman spectroscopy in environmental detection
This review covers recent advances in surface-enhanced Raman spectroscopy, a highly sensitive analytical technique being applied to detect environmental contaminants including microplastics, heavy metals, pesticides, and pathogens. Researchers highlight effective substrate designs and detection methods that could enable faster, more accurate environmental monitoring. The technology shows promise for real-world applications but still faces challenges in moving from laboratory settings to field deployment.
Plasmonic Coacervate as a Droplet-Based SERS Platform for Rapid Enrichment and Microanalysis of Hydrophobic Payloads
Researchers developed a coacervate microdroplet platform incorporating silver nanoparticles as a surface-enhanced Raman scattering (SERS) substrate for detecting and quantifying trace hydrophobic contaminants, including those associated with microplastics. The platform demonstrated effective enrichment and sensitive detection of hydrophobic analytes, offering a droplet-based approach for microplastic-associated pollutant analysis.
Synergistically Enhanced Ta2O5/AgNPs SERS Substrate Coupled with Deep Learning for Ultra-Sensitive Microplastic Detection
Researchers engineered a high-performance Ta2O5/AgNPs composite surface-enhanced Raman scattering (SERS) substrate and coupled it with deep learning algorithms for ultra-sensitive detection of microplastics. Through morphology modulation and band-gap engineering of the semiconductor support, the system achieved significantly enhanced Raman signal amplification, enabling identification of microplastics at very low concentrations.
Liquid Interfacial Coassembly of Plasmonic Arrays and Trace Hydrophobic Nanoplastics in Edible Oils for Robust Identification and Classification by Surface-Enhanced Raman Spectroscopy
Researchers developed a surface-enhanced Raman spectroscopy method that uses liquid interface coassembly of gold nanoparticles to detect trace amounts of nanoplastics in edible oils and aqueous environments. The technique achieved detection limits at the microgram-per-milliliter level and, combined with principal component analysis, enabled differentiation and classification of multiple nanoplastic types.
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.
Detection of Sub-Micro- and Nanoplastic Particles on Gold Nanoparticle-Based Substrates through Surface-Enhanced Raman Scattering (SERS) Spectroscopy
Gold nanoparticle-based SERS substrates were used to detect sub-micro and nanoplastic particles including polystyrene, PET, and PVC, demonstrating that this technique can identify plastic particles below the size threshold of conventional Raman microscopy.
Portable surface-enhanced Raman scattering platform for rapid identification of nanoplastics at single-particle level
Researchers developed a portable, gold-nanoparticle-coated paper substrate for surface-enhanced Raman scattering (SERS) that detects individual plastic particles down to 1 part per trillion, enabling rapid field identification of polystyrene and nylon nanoplastics released from food containers and teabags without laboratory equipment.