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Papers
61,005 resultsShowing papers similar to Rapid and Ultrasensitive Detection of Dioctyltin in Textiles Using Surface-Enhanced Raman Spectroscopy (SERS): Mechanistic Insights and Practical Applications
ClearInter-coffee-ring effects boost rapid and highly reliable SERS detection of TPhT on a light-confining structure
This study developed a highly sensitive detection method for triphenyltin, a toxic industrial chemical, using gold nanoparticles and surface-enhanced Raman spectroscopy on a specially designed substrate. The method achieves rapid, reproducible detection at trace concentrations relevant to environmental and food safety monitoring.
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.
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.
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.
Highly Scalable, Wearable Surface‐Enhanced Raman Spectroscopy
Researchers developed highly scalable wearable surface-enhanced Raman spectroscopy (SERS) sensors capable of detecting molecular-level chemical information from the skin, advancing the field of non-invasive chemical sensing with potential applications in environmental exposure monitoring.
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.
Imaging and identification of single nanoplastic particles and agglomerates
Scientists used a surface-enhanced Raman scattering (SERS) technique to detect and identify individual nanoplastic particles as small as 100 nanometers, a size range that has been extremely difficult to measure with existing methods. The approach can distinguish between single particles and clumps, and works significantly faster than previous imaging techniques. The study represents a meaningful advance in nanoplastic detection that could help researchers better understand the true extent of nanoplastic pollution.
Advance in Detection Technique of Lean Meat Powder Residues in Meat Using SERS: A Review
This review examines the use of surface-enhanced Raman spectroscopy for detecting lean meat powder residues in food products. Researchers discuss various approaches including single metal nanoparticles, combined adsorbent materials, and integration with other analytical techniques. The study suggests that as this spectroscopy technology continues to improve, it could become a more widely used tool for rapid and sensitive food safety screening.
A review of recent progress in the application of Raman spectroscopy and SERS detection of microplastics and derivatives
This review covers advances in using Raman spectroscopy and surface-enhanced Raman spectroscopy (SERS) to detect and identify microplastics in the environment. These techniques offer high resolution and sensitive detection that can identify specific plastic types even at very small sizes. Better detection methods are essential for understanding the true extent of microplastic contamination and its potential risks to human health.
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.
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.
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.
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.
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.
Trapping tiny pollutants: SERS-driven strategies for microplastics and nanoplastics detection
This review explores how surface-enhanced Raman spectroscopy (SERS) is being developed as a highly sensitive tool for detecting and identifying micro- and nanoplastics in environmental and biological samples. Researchers highlight recent advances in sensor design, the integration of machine learning for improved accuracy, and the technique's potential for real-world monitoring. The study also identifies key challenges, including signal variability and the lack of standardized methods, that need to be resolved for broader adoption.
Surface-Enhanced Raman Spectroscopy Facilitates the Detection of Microplastics <1 μm in the Environment
Researchers developed a method using surface-enhanced Raman spectroscopy to detect and identify individual microplastic particles smaller than one micrometer. This technique addresses a major gap in environmental monitoring, since most current methods cannot reliably detect the smallest microplastics that may pose the greatest risk due to their ability to enter cells and tissues.
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.
Strategies and Challenges of Identifying Nanoplastics in Environment by Surface-Enhanced Raman Spectroscopy
Researchers reviewed the use of surface-enhanced Raman spectroscopy (SERS) as a tool for detecting nanoplastics, which are plastic particles smaller than one micrometer. The study found that SERS offers high sensitivity for identifying individual nanoparticles, but significant challenges remain in applying this technique to complex environmental samples. The review outlines strategies for improving SERS-based nanoplastic detection to better assess environmental and health risks.
Latest Advances and Developments to Detection of Micro‐ and Nanoplastics Using Surface‐Enhanced Raman Spectroscopy
This review examines the latest developments in using surface-enhanced Raman spectroscopy (SERS) to detect micro- and nanoplastics in various environmental samples. Researchers found that SERS offers significantly improved sensitivity compared to conventional methods, enabling detection of smaller plastic particles. The study suggests that SERS-based approaches hold promise for advancing nanoplastic detection, though challenges around standardization and reproducibility remain.
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.
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.
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.
Rational Design and Engineering of Conducting Polymers for Chemical Enhancement in Raman Scattering
Researchers developed a systematic framework for designing and engineering conducting polymer-based chemical Raman scattering enhancers by mapping charge-transfer pathways using transient absorption spectroscopy, cyclic voltammetry, and DFT calculations. This rational design approach identified morphology and composition factors that maximize Raman signal enhancement, advancing non-electromagnetic methods for detecting microplastics and other analytes at low concentrations.
Dark background–surface enhanced Raman spectroscopic detection of nanoplastics: Thermofluidic strategy
Researchers developed a thermofluidic strategy using dark-background surface-enhanced Raman spectroscopy (SERS) for detecting nanoplastics in water, offering a cost-effective and time-efficient detection approach. The method addresses the lack of universally accepted analytical techniques for nanoplastic detection in environmental samples.