We can't find the internet
Attempting to reconnect
Something went wrong!
Hang in there while we get back on track
Analysis of Microplastics in Environmental Waters by Pyrolysis-GC/MS
AI summary Read the abstract
This chapter reviewed pyrolysis-GC/MS as an analytical method for detecting and quantifying microplastics in environmental water samples including wastewater, rivers, and seawater. Unlike size-limited optical methods, Py-GC/MS can analyze particles of any size and directly identify polymer types, making it a promising high-throughput tool.
Microplastics (MPs) have been detected worldwide in a wide range of environmental compartments (e.g., wastewater, river and lake water, seawater, sediments, and biota), making the accumulation of plastics a growing environmental problem. Therefore, it is mandatory to gather data on their occurrence and environmental fate to better understand the effects of MPs on ecosystems and human health. Over the last years, pyrolysis coupled with gas chromatography and mass spectrometry (Py-GC/MS) appeared as a promising analytical method for the qualitative and quantitative analysis of MPs in the environment, especially because it has no particle size limitations.
More Papers Like This
Microplastics Identification by Pyrolysis Gas Chromatography Mass Spectrometry (py-GCMS)
AI summary Read the abstract
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.
Optimization, performance, and application of a pyrolysis-GC/MS method for the identification of microplastics
AI summary Read the abstract
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.
Development of a Py-GC/MS method and its application to identify marine microplastics
AI summary Read the abstract
Researchers developed a pyrolysis-GC/MS analytical method for identifying marine microplastics by polymer type, providing an alternative chemical characterization approach for environmental samples where spectroscopic methods are difficult to apply.
Identification of Microplastics in Drinking Water Using Pyrolysis-GC/MS
AI summary Read the abstract
Researchers used pyrolysis-GC/MS to identify and quantify microplastics by polymer mass (rather than particle count) in drinking water samples. The method detected multiple polymer types and provided mass-based metrics that are more toxicologically relevant than particle counts commonly reported in water quality studies.
Mass Spectrometry as an Analytical Tool for Detection of Microplastics in the Environment
AI summary Read the abstract
This review evaluates mass spectrometry techniques for detecting microplastics in the environment, covering GC-MS, LC-MS, MALDI-MS, and pyrolysis-based methods while comparing their capabilities for polymer identification, quantification, and size characterization.
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.