We can't find the internet
Attempting to reconnect
Something went wrong!
Hang in there while we get back on track
Highly selective solid–liquid extraction of microplastic mixtures as a pre-preparation tool for quantitative nuclear magnetic resonance spectroscopy studies
Summary
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.
Despite various developments in the application of quantitative nuclear magnetic resonance (qNMR) spectroscopy toward microplastics in recent years, this method still lacks suitable sample preparation and fractionation procedures. As this poses a crucial obstacle for its utilisation on environmental samples, which contain various mixtures of polymers along with other matrix substances, this research aims to address this missing link by presenting an easy-to-apply procedure based on common laboratory equipment. The process selectively separates microplastics from inorganic constituents while performing the necessary fractionation of different types of microplastics prior to qNMR analysis. It allows subsequent quantification of polystyrene (PS), polybutadiene rubber (BR), polymethylmethacrylate (PMMA), polyvinylchloride (PVC), polyethylene terephthalate (PET) and polyamide (PA) from a single sample, establishing recovery rates greater than 88% for all tested polymer types. Additionally, we extended our previous qNMR protocol to include two common polymer types: polymethylmethacrylate (PMMA) and polyacrylonitrile (PAN), achieving limits of detection down to 1.76 μg ml-1 and 12.53 μg ml-1 as well as limits of quantification down to 5.88 μg ml-1 and 41.78 μg ml-1, respectively. Thus, the qNMR method presented herein is now applicable to eight abundant polymer types, allowing the quantification of up to three different types simultaneously.
Sign in to start a discussion.
More Papers Like This
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.
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.
Binary Solvent Extraction of Microplastics from Complex Environmental Matrix.
Researchers tested a two-solvent extraction method for isolating microplastics from complex environmental matrices. An efficient extraction technique is important for accurately detecting and quantifying microplastics in samples like sediment and biological tissue that contain many other organic and inorganic compounds.
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.
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.