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61,005 resultsShowing papers similar to Synergistic SERS effects in organic/MoS2 heterojunctions with cavity structure enabling nanoplastics screening and antibiotic adsorption behavior detection
ClearFluorescence Quenching SERS Detection: a 2D MoS2 Platform Modified with a Large π‐Conjugated Organic Molecule for Bacterial Detection
Despite its title referencing SERS detection, this paper studies a specialized sensor material for detecting bacteria in very low concentrations using surface-enhanced Raman spectroscopy — not microplastic pollution. It examines a MoS2-based heterostructure that improves detection sensitivity by suppressing fluorescence interference, and is not relevant to microplastics or human health.
Study of microplastics as sorbents for rapid detection of multiple antibiotics in water based on SERS technology
Researchers used polyethylene microplastics as sorbents combined with surface-enhanced Raman scattering (SERS) technology to rapidly detect multiple antibiotic residues in water, demonstrating that microplastics' tendency to adsorb contaminants can be repurposed as a tool for environmental monitoring.
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.
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.
Bacterial Nanocellulose Membrane Deposited with Silver Nanoparticles for SERS Detection of Microplastics
Researchers developed a flexible surface-enhanced Raman scattering (SERS) substrate by depositing well-dispersed silver nanoparticles onto bacterial nanocellulose membranes, achieving a Raman signal enhancement factor of up to 331 for polyethylene solutions at 0.1 g/L. The substrate combines the electromagnetic enhancement of AgNPs with the flexible, porous structure of bacterial nanocellulose for practical microplastic detection applications.
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.
Nano-arrayed Cu2S@MoS2 heterojunction SERS sensor for highly sensitive and visual detection of polystyrene in environmental matrices
Researchers developed a noble-metal-free semiconductor heterojunction sensor using Cu2S and MoS2 that can detect polystyrene micro- and nanoplastics via surface-enhanced Raman spectroscopy (SERS) down to 50 µg/mL, offering a cost-effective and visually interpretable alternative to conventional plastic detection methods.
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.
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.
Plasmon Enhanced Universal SERS Detection of Hierarchical Plastics by 3D Plasmonic Funnel Metastructure
Researchers developed a 3D plasmonic nanostructure — a specialized surface covered in densely packed gold nanocones — that can detect microplastics and nanoplastics in water at extremely low concentrations using a technique called surface-enhanced Raman scattering (SERS). The device achieved detection limits as low as 10 nanograms per liter and could simultaneously identify plastics ranging from 30 nanometers to several micrometers. This kind of ultrasensitive, versatile sensor addresses a major gap: current detection tools struggle with the smallest plastic particles, which are also the most biologically concerning. The approach could support both environmental monitoring and research into nanoplastic behavior.
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.
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.
Fabrication of Bowl Array Surface-Enhanced Raman Scattering Substrates via Ag Nanoparticle Self-Assembly on Polymer UV-Imprinted Microbowls for Enhanced Raman Detection of Microplastics
Researchers fabricated bowl-array surface-enhanced Raman scattering substrates by depositing silver nanoparticles via self-assembly onto UV-imprinted polymer microbowls, creating 50-micrometre diameter bowl structures that combine SERS enhancement with light-trapping to enable highly sensitive detection of micrometer-sized microplastics.
Microextraction based on microplastic followed by SERS for on-site detection of hydrophobic organic contaminants, an indicator of seawater pollution
Researchers used microplastics as a sampling tool combined with surface-enhanced Raman scattering to detect and measure a toxic organic pollutant (fluoranthene) in seawater. This approach could offer a portable, cost-effective way to monitor water contamination in the field.
Plasmonic-based Raman sensor for ultra-sensitive detection of pharmaceutical waste
This paper is not relevant to microplastics research; it describes a plasmonic Raman sensor for detecting pharmaceutical contaminants in water and food — the sensor uses surface-enhanced Raman spectroscopy (SERS) but is focused on pharmaceutical waste, not plastic particles.
SERS-Based Local Field Enhancement in Biosensing Applications
This review examined recent advances in surface-enhanced Raman scattering substrates used for detecting biological molecules and environmental contaminants, including microplastics. Researchers discussed how new materials ranging from semiconductors to flexible three-dimensional structures have expanded the technology's capabilities for sensitive, non-destructive molecular identification. The study suggests that more cost-effective and efficient SERS substrates could improve environmental monitoring and food safety testing applications.
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.
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.
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.
Quantitative and rapid detection of nanoplastics labeled by luminescent metal phenolic networks using surface-enhanced Raman scattering
Researchers developed a detection method using luminescent metal-phenolic network tags combined with portable surface-enhanced Raman spectroscopy (SERS) that can identify and quantify multiple nanoplastic types (polystyrene, PMMA, PLA) as small as 50 nm at concentrations as low as 0.1 µg/mL in field-deployable settings.
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.
Electrochemical and Surface‐Enhanced Raman Scattering Coupling for Dual‐Mode Sensing of Nanoplastics
This study developed a dual-mode detection system combining electrochemical analysis with surface-enhanced Raman scattering to identify nanoplastics in environmental samples, addressing the challenge of detecting NPs by material, size, and surface chemistry simultaneously.
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.
Metal-free AAO membranes function as both filters and Raman enhancers for the analysis of nanoplastics
Scientists developed a simple, metal-free aluminum oxide membrane that works as both a filter and a signal-enhancing surface for detecting nanoplastics using Raman spectroscopy. The approach successfully identified plastic particles as small as 200 nanometers across six common polymer types, without complex sample preparation. This dual-function tool could offer a cost-effective and practical way to analyze nanoplastic contamination in environmental samples.