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Papers
61,005 resultsM. Sc
Researchers proposed a workflow for examining microplastic contamination in environmental surface water samples using high-resolution nuclear magnetic resonance (NMR) spectroscopy, enabling simultaneous unambiguous polymer identification and precise quantification at atomic resolution independent of particle size. The NMR-based approach offered advantages over conventional spectroscopy methods by providing structural-level chemical characterization without size-based detection thresholds.
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Researchers developed a workflow using high-resolution nuclear magnetic resonance (NMR) spectroscopy — including quantitative 1H NMR and 2D 1H-13C HSQC NMR — to identify and precisely quantify microplastic polymer types in environmental surface water samples at atomic resolution, independent of particle size. The method provides unambiguous polymer identification and mass quantification, offering a rigorous alternative to imaging-based approaches for microplastic characterization.
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Researchers developed a workflow using high-resolution nuclear magnetic resonance (NMR) spectroscopy — including quantitative 1H NMR and 2D 1H-13C HSQC NMR — to identify and precisely quantify microplastic polymer types in environmental surface water samples at atomic resolution, independent of particle size. The method provides unambiguous polymer identification and mass quantification, offering a rigorous alternative to imaging-based approaches for microplastic characterization.
High-resolution NMR spectroscopic approaches to quantify PET microplastics pollution in environmental freshwater samples
Researchers developed a workflow using high-resolution nuclear magnetic resonance spectroscopy to detect and quantify polyethylene terephthalate microplastic contamination in environmental water samples. The NMR-based approach enables unambiguous identification and precise measurement of PET particles in surface waters. The study offers a promising new analytical tool for monitoring microplastic pollution that complements existing detection methods.
Unlocking the potential of NMR spectroscopy for precise and efficient quantification of microplastics
Researchers demonstrated that nuclear magnetic resonance (NMR) spectroscopy can precisely identify and quantify six common plastic polymer types — including polystyrene and PVC — at concentrations as low as 0.2 micrograms per milliliter, outperforming traditional methods. This advance offers a faster, more accurate tool for measuring microplastic contamination in environmental samples.
Identification and quantification of polystyrene microplastics in marine sediments facing a river mouth through NMR spectroscopy
Researchers explored the use of nuclear magnetic resonance spectroscopy to identify and quantify polystyrene microplastics in marine sediments near a river mouth. The study demonstrated that NMR can serve as a complementary analytical tool for microplastic detection, offering advantages in polymer identification accuracy compared to some conventional methods.
The first application of quantitative 1H NMR spectroscopy as a simple and fast method of identification and quantification of microplastic particles (PE, PET, and PS)
Researchers demonstrated that quantitative ¹H NMR spectroscopy (qNMR) can identify and quantify polyethylene, PET, and polystyrene microplastic particles in solution with linearity above R²=0.994 and detection limits in the environmentally relevant range (~19–21 μg/mL), offering a faster size-independent alternative to conventional FTIR and Raman particle counting.
Microplastic quantification in environmental samples with complex organic matrices by diffusion NMR
Researchers applied diffusion NMR spectroscopy to quantify microplastics in environmental samples with complex organic matrices, demonstrating the technique's capacity to characterize polymer types in difficult real-world sample conditions where existing methods fall short.
Applicable and cost‐efficient microplastic analysis by quantitative 1 H‐NMR spectroscopy using benchtop NMR and NoD methods
Researchers demonstrated that low-cost benchtop NMR spectrometers can be used to quantify microplastics in solution, making the technique more accessible and affordable for routine environmental monitoring. This advance could help expand microplastic testing beyond well-funded research labs.
The power of a multi-technique approach for the reliable quantification of microplastics in water
Researchers applied a multi-technique analytical approach combining several spectroscopic and microscopic methods to improve the reliability of microplastic quantification in environmental samples. The combined approach reduced false positives and improved polymer identification accuracy compared to any single method used alone.
Highly selective solid–liquid extraction of microplastic mixtures as a pre-preparation tool for quantitative nuclear magnetic resonance spectroscopy studies
Researchers developed a solid-liquid extraction procedure using common laboratory equipment to selectively separate microplastic mixtures from inorganic matrix substances as sample preparation for quantitative NMR spectroscopy. The protocol addresses a key gap preventing qNMR from being applied to real environmental microplastic samples containing diverse polymer mixtures.
Overcoming the challenge of quantifying aged microplastic by qNMR spectroscopy
Researchers evaluated quantitative nuclear magnetic resonance spectroscopy for analyzing environmentally aged microplastics made of polystyrene, polyvinyl chloride, and polyethylene terephthalate. The study found that UV exposure and elevated temperatures during aging altered the spectral properties of these polymers, and developed approaches to overcome the quantification challenges posed by environmental weathering.
Extraction and concentration of nanoplastic particles from aqueous suspensions using functionalized magnetic nanoparticles and a magnetic flow cell
Researchers developed a method using hydrophobic magnetic nanoparticles to capture and concentrate nanoplastics — plastic particles smaller than 1 micrometer — from water samples, achieving recovery rates of 57–85% across different water types including freshwater and seawater. This technique addresses a major gap in nanoplastic research by making it possible to detect and measure these nearly invisible particles in real environmental samples.
Identification of microplastics and associated contaminants using ultra high resolution microscopic and spectroscopic techniques
A new procedure combining ultra-high resolution microscopy and spectroscopy was developed to simultaneously characterize micro- and nanoplastics and identify contaminants adsorbed to their surfaces in aquatic samples. The method enables more comprehensive analysis of the complex pollutant mixtures associated with environmental microplastic particles.
Identification of Microplastics Using a Custom Built Micro-Raman Spectrometer
Researchers built a custom micro-Raman spectrometer and demonstrated its use for identifying microplastic polymer types in environmental samples, achieving sensitive and specific polymer identification at particle sizes down to a few micrometers.
A comparison of microscopic and spectroscopic identification methods for analysis of microplastics in environmental samples
Researchers compared microscopic and spectroscopic methods for analyzing microplastics in environmental samples, evaluating accuracy and efficiency and finding that spectroscopic confirmation substantially reduces misidentification errors.
Identification and Quantification of Nanoplastics in Surface Water and Groundwater by Pyrolysis Gas Chromatography–Mass Spectrometry
Researchers developed a method combining ultrafiltration and pyrolysis gas chromatography-mass spectrometry to identify and quantify nanoplastics in surface water and groundwater. The study successfully detected six types of plastic polymers at the nanoscale in environmental water samples, providing much-needed quantitative data on nanoplastic pollution in real-world water sources.
Quantitative analysis of PET microplastics in environmental model samples using quantitative 1H-NMR spectroscopy: validation of an optimized and consistent sample clean-up method
Researchers proposed a new mass-based method for quantifying PET microplastics in environmental samples that enables comparisons across different sample matrices. Standardizing how microplastics are measured — particularly reporting mass rather than just particle counts — would improve the comparability of data from different studies.
Simultaneous quantification of microplastic particles by non-deuterated (NoD) 1H-qNMR from samples comprising different polymer types
Researchers developed a non-deuterated proton quantitative NMR method that can simultaneously identify and quantify multiple polymer types in microplastic mixtures, offering a faster and more cost-effective analytical approach.
Low molecular weight polymers in aquatic environments as pollutants of emerging concerns: recovery, quantification and microstructure
This study developed a new method using solution NMR spectroscopy to isolate and quantify low-molecular-weight synthetic polymers (polyethylene and PDMS) directly from seawater, bypassing some limitations of traditional spectroscopic approaches. The analytical advance matters because accurate quantification of dissolved and near-dissolved polymer debris in marine water is essential for assessing true human and ecological exposure to plastic contamination.
Applicability of NMR spectroscopy to quantify microplastics across varying concentrations in polymer mixtures
Quantitative NMR spectroscopy was evaluated as a method for measuring synthetic polymers in mixed microplastic samples at low concentrations, finding it feasible but constrained by overlapping signals and solvent limitations, offering a cost-efficient alternative to spectroscopic methods for certain polymer mixture analyses.
Using optimized particle imaging of micro-Raman to characterize microplastics in water samples
Researchers developed a micro-Raman automatic particle identification technique that can characterize microplastics in water samples up to 100 times faster than traditional point-by-point detection methods, while maintaining high precision for identifying polymer types, sizes, and morphologies.
Raman Spectroscopy and Machine Learning for Microplastics Identification and Classification in Water Environments
Researchers combined Raman spectroscopy with machine learning algorithms for automated identification and classification of microplastics in water environments, achieving high accuracy in distinguishing different polymer types based on spectral fingerprints.
Development of automated microplastic identification workflow for Raman micro-imaging and evaluation of the uncertainties during micro-imaging
Researchers developed an automated identification workflow for Raman micro-imaging of microplastics, validating it with artificial samples of known polymer microspheres and showing that the workflow reliably identifies plastic type and estimates particle size across a range of sizes.