We can't find the internet
Attempting to reconnect
Something went wrong!
Hang in there while we get back on track
Pyrolysis GC-MS Characterization of Plastic Debris from the Northern Gulf of Alaska Shorelines
Summary
Using pyrolysis GC-MS, researchers chemically characterized 115 plastic debris samples collected from shorelines in the northern Gulf of Alaska, identifying polyethylene and polypropylene as the dominant polymers regardless of the debris's physical appearance or degree of weathering. Accurate polymer identification of environmental plastic litter is foundational to understanding degradation pathways and the types of microplastics that eventually enter marine food webs.
Plastics and their breakdown components are accumulating at alarming rates in global ecosystems, including the Gulf of Alaska. Obtaining knowledge of the chemical composition of plastics is important because different types of plastics are manufactured using different types of polymers and copolymers for specialized applications. We employed pyrolysis GC-MS for the chemical characterization of 115 plastic debris samples of different physical and optical properties nonrandomly collected from shorelines in the northern Gulf of Alaska. A two-tier approach of peak fingerprinting and mass spectral data of marker peaks provided higher confidence in the data. The analyses did not appear to be compromised by the physical properties, optical properties, or weathering conditions of the debris. Polyethylene and polypropylene, the low-density floating plastics possibly of oceanic origins, were some of the most frequently detected polymers in the Katmai National Park and Preserve and Kenai Fjords National Park. Interestingly, a more diverse composition of polyethylene, polypropylene, polystyrene, poly(ethylene terephthalate), and poly(vinyl chloride) was detected in Western Prince William Sound shorelines, possibly of oceanic as well as terrestrial origins. Additional benefits of the pyrolysis GC-MS method included the detection of copolymers and plastic additives in the same analytical runs.
Sign in to start a discussion.
More Papers Like This
Optimization, performance, and application of a pyrolysis-GC/MS method for the identification of microplastics
Researchers optimized a pyrolysis-GC/MS method for identifying and quantifying microplastics in environmental samples, improving the reliability of polymer identification especially for small particles that are difficult to classify visually. The improved method is particularly valuable for analyzing the smallest microplastic size fractions that dominate by number in marine environments.
Identification of polymer types and additives in marine microplastic particles using pyrolysis-GC/MS and scanning electron microscopy
Researchers used pyrolysis and thermal analysis to identify polymer types and plastic additives in marine microplastic particles, finding a diverse range of polymers and additive chemicals in samples from multiple ocean environments.
Analysis of microplastics in the environment: Identification and quantification of trace levels of common types of plastic polymers using pyrolysis-GC/MS
Researchers developed analytical methods using pyrolysis coupled with gas chromatography-mass spectrometry for identifying and quantifying 12 common plastic polymers in environmental samples. The validated method achieved detection limits as low as 0.1 micrograms and was successfully applied to analyze microplastics collected from three Mediterranean beaches in northeastern Spain.
Microplastics Identification by Pyrolysis Gas Chromatography Mass Spectrometry (py-GCMS)
This paper reviews pyrolysis gas chromatography mass spectrometry (Py-GC/MS) as a method for identifying and quantifying microplastics in environmental samples. The technique can identify specific polymer types even in complex environmental matrices where visual identification is difficult.
Pyr-GC/MS analysis of microplastics extracted from the stomach content of benthivore fish from the Texas Gulf Coast
Researchers applied pyrolysis-GC/MS to identify polymer types in microplastics extracted from the stomachs of benthivore fish from the Texas Gulf Coast, demonstrating the method's applicability for polymer characterization in biological samples where traditional spectroscopic methods face matrix interferences.