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61,005 resultsShowing papers similar to Strategies and Challenges of Identifying Nanoplastics in Environment by Surface-Enhanced Raman Spectroscopy
ClearLatest 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.
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.
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.
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.
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.
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.
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.
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.
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.
Advancing SERS-based detection of micro and nanoplastics in Agroecosystems: Current progress, challenges, and future directions
This review examines the potential of surface-enhanced Raman spectroscopy (SERS) as a point-of-care detection tool for micro- and nanoplastics in agroecosystems, highlighting its sensitivity advantages over conventional methods. It covers SERS substrate design, pre-treatment strategies, and recent applications in soil and plant matrices.
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.
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.
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 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.
Systematic quantitation for microplastics and nanoplastics based on size-fractionated filtration hyphenated to Raman/SERS and slope-matching strategy
Researchers developed a systematic method for accurately measuring micro- and nanoplastics using size-fractionated filtration combined with Raman and surface-enhanced Raman spectroscopy. The approach addresses the challenge of quantifying plastic particles with heterogeneous size distributions, offering a more reliable strategy for environmental 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.
Research Progress of Surface-Enhanced Raman Scattering (SERS) Technology in Food, Biomedical, and Environmental Monitoring
This review covers advances in SERS (Surface-Enhanced Raman Scattering) technology, a powerful detection method that can identify trace amounts of contaminants at the molecular level. The technology has been applied to detecting microplastics, pesticide residues, heavy metals, and disease biomarkers in food, medical, and environmental samples. Better detection tools like SERS are important because they could help scientists measure exactly how much microplastic contamination is present in food and water.
Integrating Metal Phenolic Networks-Mediated Separation and Machine Learning-Aided SERS for High-Precision Quantification and Classification of Nanoplastics
Scientists combined metal-phenolic network chemistry — which rapidly concentrates and captures nanoplastics — with machine-learning-enhanced surface-enhanced Raman spectroscopy (SERS) to accurately identify and quantify nanoplastics at very low environmental concentrations. This integrated approach addresses one of the biggest technical obstacles in nanoplastic research: detecting particles that are too small and too sparse for conventional methods to reliably find.
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.
Identification of microplastics using Raman spectroscopy: Latest developments and future prospects
This review summarizes the latest advances in using Raman spectroscopy to identify microplastics in environmental samples, highlighting improvements in speed, sensitivity, and the ability to characterize plastic type and surface chemistry.
The onset of surface-enhanced Raman scattering for single-particle detection of submicroplastics
Researchers demonstrated surface-enhanced Raman scattering (SERS) using gold nanourchins as a detection method for submicroplastic polystyrene particles at the single-particle level, addressing a critical monitoring gap for plastics smaller than 1 micrometer. The approach offers a promising analytical solution for detecting submicron and nanoplastics that conventional techniques cannot reliably quantify.
Co-Self-Assembled Monolayer Enables Sensitive SERS Detection of Nanoplastics via Spontaneous Hotspot Entrapment
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.
Quantitative analysis of microplastics in seawater based on SERS internal standard method
Researchers developed a new method using surface-enhanced Raman scattering (SERS) to quantitatively detect microplastics in seawater. By using an internal standard approach, they improved accuracy compared to existing techniques that struggle with particles smaller than one micrometer. The method offers a more sensitive and practical way to measure microplastic concentrations in marine environments.
Applications of Raman spectroscopy for microplastic detection and characterization: a comprehensive spectral reference
This review evaluates Raman spectroscopy as a tool for detecting and identifying microplastics across water, soil, air, and biological samples. The study consolidates reference spectra for common plastic polymers and discusses recent innovations like surface-enhanced Raman techniques that improve detection sensitivity, while also addressing challenges like fluorescence interference in complex samples.