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Papers
20 resultsShowing papers similar to SERS imaging and ICP-MS quantification of the biological uptake of nanoplastics using a dual-detectable model nanomaterial
ClearSERS Imaging and ICP-MS quantification of the biological uptake of nanoplastics using a dual-detectable model material
Researchers developed a dual-detection nanoplastic model using gold nanoparticles coated with a plastic shell, enabling both imaging via Raman spectroscopy and quantification via mass spectrometry. The model particles remained stable for over a year without chemical leaching, and testing in garlic plants demonstrated the ability to track nanoplastic uptake and distribution in biological systems at the single-particle level.
Imaging and quantifying the biological uptake and distribution of nanoplastics using a dual-functional model material
Researchers developed a dual-functional nanoplastic model material that allows both imaging and precise quantification of nanoplastic uptake in biological systems. Using surface-enhanced Raman spectroscopy and inductively coupled plasma mass spectrometry, they could track where nanoplastics accumulated in organisms at high resolution. The tool addresses a major gap in nanoplastic research by enabling more accurate measurement of how these tiny particles interact with living tissues.
Imaging and quantifying the biological uptake and distribution of nanoplastics using a dual-functional model material
This study used advanced imaging techniques to visualize and quantify nanoplastic uptake and distribution in biological systems, tracking particle translocation from exposure routes into tissues and characterizing intracellular localization.
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.
From the synthesis of labeled nanoplastic model materials (isotopic and metallic) to their use in ecotoxicological studies with the detection and quantification analytical methods.
Researchers synthesized isotopically and metallically labeled nanoplastic model materials to enable tracking and quantification of plastic nanoparticles in complex biological and environmental matrices at trace concentrations. The labeled models supported mechanistic studies of nanoplastic fate and exposure by allowing detection at environmentally relevant concentrations not achievable with conventional unlabeled particles.
From the synthesis of labeled nanoplastic model materials (isotopic and metallic) to their use in ecotoxicological studies with the detection and quantification analytical methods.
This study developed labeled nanoplastic model materials using isotopic and metallic tracers to enable tracking and quantification of nanoplastics in complex biological and environmental matrices at environmentally relevant concentrations. Labeled particles allowed localization and measurement of nanoplastics at levels not detectable by conventional methods, advancing mechanistic exposure studies.
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.
Controllable preparation of mesoporous spike gold nanocrystals for surface-enhanced Raman spectroscopy detection of micro/nanoplastics in water
Researchers developed a novel detection method combining membrane filtration and surface-enhanced Raman spectroscopy (SERS) using specially synthesized spiked gold nanocrystals to detect nanoplastics in water. The method can simultaneously enrich and detect nanoplastic particles as small as 20 nanometers, addressing a significant gap in reliable detection techniques for these small plastic contaminants that have been found in human blood and placenta.
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.
Quantitative assessment of in vivo distribution of nanoplastics in bivalve Ruditapes philippinarum using reliable SERS tag-labeled nanoplastic models
Researchers developed SERS-labeled nanoplastic models to quantitatively track nanoplastic distribution in Manila clams, revealing size-dependent accumulation patterns across different tissues and providing a reliable method for studying nanoplastic bioavailability in bivalves.
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.
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.
Surface-enhanced Raman scattering labeled nanoplastic models for reliable bio-nano interaction investigations
Researchers developed a novel surface-enhanced Raman scattering labeled nanoplastic model that overcomes the drawbacks of fluorescent labels, such as autofluorescence interference and false-positive results. Using this approach, they tracked nanoplastic behavior in living zebrafish and vegetable seedlings, discovering that nanoplastics enter zebrafish blood circulation through a brief post-hatch skin uptake window. The tool enables more reliable studies of how nanoplastics interact with biological systems.
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.
Core–Shell Au@Nanoplastics as a Quantitative Tracer to Investigate the Bioaccumulation of Nanoplastics in Freshwater Ecosystems
Researchers developed a novel gold-core/polystyrene-shell nanoparticle tracer that mimics nanoplastic behavior in freshwater but can be detected and quantified far more precisely using the gold core's chemical signature. Using this tracer in artificial freshwater mesocosms, they tracked how nanoplastics distribute across water, sediment, and organisms — providing a powerful new tool to study nanoplastic fate and bioaccumulation.
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.
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.
Correlative spectroscopy and microscopy analysis of micro- and nanoplastics in complex biological matrices
Researchers combined fluorescence microscopy, second harmonic generation imaging, and coherent Raman scattering to detect and map micro- and nanoplastics in lung cells, zebrafish, and mouse tissues. Polystyrene nanoplastics were found to cross the blood-brain barrier and accumulate in lipid-rich brain regions in animal models.
Machine Learning-Aided 3D Dynamic SERS Strategy for Physiological Mapping: Biotoxicity of Environmentally Dimensional Aged Nanoplastics and Corresponding Protein Corona Complexes
Researchers used a new combination of 3D surface-enhanced Raman spectroscopy and machine learning to study the toxicity of nanoplastics on cells. They found that aged nanoplastics and those coated with proteins from the environment caused different types of cell damage depending on the plastic type. This approach could help scientists more rapidly assess the biological hazards of nanoplastics found in the environment.
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.