We can't find the internet
Attempting to reconnect
Something went wrong!
Hang in there while we get back on track
Differential scanning calorimetry (DSC): An important tool for polymer identification and characterization of plastic marine debris
AI summary Read the abstract
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.
Differential scanning calorimetry (DSC), a routine thermoanalytical method in material science, is gaining utility in plastic pollution research to improve polymer identification. We optimized a DSC method, experimentally testing pan types, temperature ramps, number of melts, and minimum sample masses. Using the optimized method, we created an in-house thermogram library from 201 polymer reference standards. We determined peak melting temperature cutoffs for differentiating variants of PE and nylon. PE cutoffs remained stable after experimentally weathering standards outdoors or for severely weathered HDPE debris found on Hawaii's beaches. Marine debris samples, across a range of weathering severity and previously identified as either low-density or high-density polyethylene (LDPE or HDPE) based on the 1377 cm peak indicating methyl groups by attenuated total reflectance Fourier-transform infrared spectroscopy (ATR-FTIR), were analyzed by DSC to confirm or challenge the ATR-FTIR PE differentiation. ATR-FTIR was correct for >80% of the HDPE samples, but <40% of those initially identified as LDPE by ATR-FTIR. Accuracy did not relate to weathering extent. Most samples mis-identified as LDPE were HDPE that had formed methyl groups likely from chain scission during photooxidation. ATR-FTIR alone is unreliable for differentiating weathered PE, DSC is required. We provide a multiple-method workflow for complete and accurate polymer identification, even for microplastics ≥0.03 mg. Applying these methods can better identify the polymer composition of marine debris, essential for sourcing and recycling efforts.
More Papers Like This
Identification of marine microplastics in Eastern Harbor, Mediterranean Coast of Egypt, using differential scanning calorimetry
AI summary Read the abstract
Researchers applied differential scanning calorimetry (DSC) for the first time to identify microplastics in marine sediments from Eastern Harbor on Egypt's Mediterranean coast, demonstrating it as a cost-effective complement to conventional spectroscopic identification methods.
Regression analysis for the determination of microplastics in sediments using differential scanning calorimetry
AI summary Read the abstract
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.
Fast and easy quantification of semi-crystalline microplastics in exemplary environmental matrices by differential scanning calorimetry (DSC)
AI summary Read the abstract
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.
Identification and quantitation of semi-crystalline microplastics using image analysis and differential scanning calorimetry
AI summary Read the abstract
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.
Modeling microplastic with polyethylene (PE) spherical particles: a differential scanning calorimetry approach for quantification
AI summary Read the abstract
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.
Research digests by email
When a large batch of papers lands in the Atlas, we read through it and send a short write-up of what stood out.