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61,005 resultsShowing papers similar to Identification of marine microplastics in Eastern Harbor, Mediterranean Coast of Egypt, using differential scanning calorimetry
ClearRegression analysis for the determination of microplastics in sediments using differential scanning calorimetry
Researchers developed a differential scanning calorimetry method for rapid identification and quantification of microplastics in sediment samples. The study demonstrated that this thermo-analytical approach could detect multiple polymer types including polyethylene, polypropylene, and PET in sand samples, offering a faster and more cost-efficient alternative to traditional microplastic analysis methods.
A facile approach to microplastic identification and quantification using differential scanning calorimetry
Researchers developed a simpler differential scanning calorimetry method to identify and quantify six types of semi-crystalline microplastic polymers in water samples, offering a lower-cost alternative to μFTIR that also provides mass concentration data.
Differential scanning calorimetry (DSC): An important tool for polymer identification and characterization of plastic marine debris
Researchers optimized a differential scanning calorimetry method for identifying plastic polymers in marine debris and built a reference library from over 200 polymer standards. They established temperature-based criteria for distinguishing between similar plastic types that are often confused during visual identification. The study provides a practical, reliable tool for improving the accuracy of polymer identification in plastic pollution research.
Thermal analysis and enhanced visual technique for assessment of microplastics in fish from an Urban Harbor, Mediterranean Coast of Egypt
Researchers applied an enhanced visual counting technique combined with combustion analysis and differential scanning calorimetry to assess microplastics in fish digestive tracts from Alexandria's Eastern Harbor, Egypt, detecting seven thermoplastic polymer types in all fish samples in what was the first such quantification study in Egypt.
Fast and easy quantification of semi-crystalline microplastics in exemplary environmental matrices by differential scanning calorimetry (DSC)
This study demonstrated that differential scanning calorimetry (DSC) can quantify semi-crystalline microplastics (PE, PET, PP, PA6) in environmental matrices, with pre-heating steps improving detection accuracy and reducing interference from organic impurities.
Characterization and distribution of plastic particles along Alexandria beaches, Mediterranean Coast of Egypt, using microscopy and thermal analysis techniques
Researchers characterized plastic particles in sediments and surface water along Alexandria beaches in Egypt, finding mean concentrations of 389 items per kilogram dry sediment and 457 items per cubic meter in surface water. Thermogravimetric and calorimetric analysis identified 10 polymer types, with low-density polyethylene dominant, and linked contamination primarily to single-use plastic bags, detergent packaging, and seafaring activities.
Application of electrostatic separation and differential scanning calorimetry for microplastic analysis in river sediments
Researchers developed a combined method integrating electrostatic separation, density separation, and differential scanning calorimetry for microplastic analysis in river sediments, demonstrating that the approach can process 100-1000 g sample masses and achieved 98% mass reduction in sand matrices and 70-78% in sediments before DSC polymer identification.
Modeling microplastic with polyethylene (PE) spherical particles: a differential scanning calorimetry approach for quantification
Researchers developed a thermal analysis approach to detect and quantify polyethylene microplastics in environmental samples, offering an alternative to optical methods. Accurate quantification tools are essential for understanding the true scale of microplastic contamination in soil and water.
Quantification of microplastics in complex environmental matrices using a tiered approach with modulated differential scanning calorimetry (MDSC)
Researchers developed a method using modulated differential scanning calorimetry to quantify microplastics in biosolids and soil, achieving 1.4-2.5 times higher sensitivity than conventional thermal analysis with detection limits as low as 7 micrograms per gram. They demonstrated an average recovery rate of 93% for four common plastic types extracted from biosolid samples. The study suggests this thermal approach, combined with complementary spectroscopic techniques, provides a reliable and cost-effective tool for measuring microplastics in complex environmental samples.
Identification and quantitation of semi-crystalline microplastics using image analysis and differential scanning calorimetry
Researchers developed an analytical workflow combining optical microscopy with image analysis and differential scanning calorimetry (DSC) for identifying and quantifying semi-crystalline microplastics including LDPE, HDPE, PP, and PET. The study found that particle size significantly affects DSC signal quality, requiring sieve pre-treatment to achieve reliable identification and mass quantitation.
Microplastics identification in water by TGA–DSC Method: Maharloo Lake, Iran
A TGA-DSC methodology was applied to detect microplastics in water samples from Maharloo Lake, Iran, differentiating labile, recalcitrant, and refractory organic matter fractions, and demonstrating the method's applicability to real aquatic environments.
Microplastic Pollution in Libyan Port Sediments: Today's Findings and Environmental Impacts
Researchers used FTIR spectroscopy to identify and characterize microplastics in sediment samples collected from three port locations in west Libya near the Mediterranean Sea, providing baseline data on microplastic pollution types and environmental impacts in Libyan coastal environments.
Dual-method analysis of microplastics in lake and wastewater treatment effluents: comparison of micro-FTIR and differential scanning calorimetry technique
Researchers compared micro-FTIR and differential scanning calorimetry (DSC) for detecting microplastics in lake water and wastewater treatment effluents, finding that both methods showed similar pollution trends but differed in specific results, with micro-FTIR identifying polymer types and DSC providing superior mass quantification from large-volume samples.
The applicability of reflectance micro-Fourier-transform infrared spectroscopy for the detection of synthetic microplastics in marine sediments
Researchers developed and validated an optimized micro-FT-IR spectroscopy protocol for detecting microplastics in coastal marine sediments, providing a detailed operating procedure. The standardized method improves detection reliability and enables comparison of results across laboratories studying sediment microplastic contamination.
Identification and Quantification of Microplastics in Effluents of Wastewater Treatment Plant by Differential Scanning Calorimetry (DSC)
Researchers used differential scanning calorimetry (DSC) to identify and quantify microplastics including polyethylene, polystyrene, polypropylene, and PET in effluents from three wastewater treatment plants. Plants with only preliminary treatment removed less than 58% of microplastics, while those with secondary activated sludge treatment achieved 90 to 96.9% removal efficiency.
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.
Study on primary microplastics in cosmetics: their isolation, spectral and thermal analysis
Researchers analyzed eight personal care and cosmetic products to isolate and characterize intentionally added microplastics. They found that the standard combination of FTIR and Raman spectroscopy was not always sufficient for accurate detection, and that thermal analysis via DSC proved particularly useful for identifying microplastics when spectroscopic methods fell short.
Indoor spectroradiometric characterization of plastic litters commonly polluting the Mediterranean Sea: toward the application of multispectral imagery
Researchers used a laboratory spectrometer to measure the light reflectance of common plastic types found in the Mediterranean Sea as a step toward developing remote sensing methods to detect marine plastic pollution from satellites or aircraft. Aerial monitoring of plastic pollution could revolutionize our ability to track and manage large-scale ocean plastic contamination.
Determination of microplastic polyethylene (PE) and polypropylene (PP) in environmental samples using thermal analysis (TGA-DSC)
This study developed a thermal analysis method using thermogravimetric analysis (TGA) to determine the mass concentration of polyethylene and polypropylene microplastics in environmental samples. The approach is cost-effective and straightforward, offering an alternative to the more expensive spectroscopic methods commonly used for microplastic identification.
The marine nano- and microplastics characterisation by SEM-EDX: The potential of the method in comparison with various physical and chemical approaches
Scanning electron microscopy with energy-dispersive X-ray spectroscopy (SEM-EDX) was evaluated as a method for characterizing marine micro- and nanoplastics, and compared with optical, spectroscopic, and chemical approaches. The study finds that SEM-EDX offers complementary information on particle morphology and surface chemistry that aids in identifying plastic particles at small sizes.
Fast identification of microplastics in complex environmental samples by a thermal degradation method
Researchers developed a fast identification method for microplastics in complex environmental samples using thermal analysis, offering a high-throughput alternative to spectroscopic techniques for polymer identification.
Polymer Type Identification of Marine Plastic Litter Using a Miniature Near-Infrared Spectrometer (MicroNIR)
Researchers tested a miniature near-infrared spectrometer (MicroNIR) for rapidly identifying polymer types in marine plastic litter collected from beaches, finding it could accurately distinguish common plastics like polyethylene and polypropylene. Low-cost, portable identification tools are important for large-scale monitoring of marine plastic pollution.
A machine learning algorithm for high throughput identification of FTIR spectra: Application on microplastics collected in the Mediterranean Sea
Researchers developed a machine learning method to automatically identify the chemical composition of microplastics from FTIR spectroscopy data collected during the Tara Mediterranean expedition. The algorithm performed well for common polymers like polyethylene and was applied to classify over 4,000 unidentified microplastic spectra. The study demonstrates that automated identification tools can significantly speed up large-scale microplastic pollution surveys while maintaining acceptable accuracy.
Rapid Identification of Beached Marine Plastics Pellets Using Laser-Induced Breakdown Spectroscopy: A Promising Tool for the Quantification of Coastal Pollution
Researchers applied laser-induced breakdown spectroscopy combined with chemometric analysis to rapidly identify and classify beached plastic pellets by polymer type, achieving over 80% accuracy and demonstrating its potential as a fast, field-deployable tool for coastal pollution monitoring.