0
Article ? AI-assigned paper type based on the abstract. Classification may not be perfect — flag errors using the feedback button. Tier 2 ? Original research — experimental, observational, or case-control study. Direct primary evidence. Detection Methods Environmental Sources Human Health Effects Marine & Wildlife Sign in to save

Analysis of Microplastics in Environmental Waters by Pyrolysis-GC/MS

2025 Score: 48 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Lidiane Faria Santos

Summary

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.

Study Type Environmental

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.

Sign in to start a discussion.

More Papers Like This

Article Tier 2

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.

Article Tier 2

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.

Article Tier 2

Identification of Microplastics in Drinking Water Using Pyrolysis-GC/MS

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.

Article Tier 2

Mass Spectrometry as an Analytical Tool for Detection of Microplastics in the Environment

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.

Article Tier 2

Standard Test Method for Identification of Polymer Type and Quantity of Microplastic Particles and Fibers in Waters with High to Low Suspended Solids Using Pyrolysis-Gas Chromatography/Mass Spectrometry

This paper describes the development of an ASTM standard test method using pyrolysis–gas chromatography/mass spectrometry (Py-GC/MS) to identify and quantify specific polymer types in microplastic particles and fibers across a wide range of water types, from drinking water to marine water. Standardizing how microplastics are measured is a critical step toward producing comparable data across studies and enabling consistent regulatory monitoring. A validated, accepted method like this helps close the large gaps in microplastic data that currently hinder risk assessment and policy-making.

Share this paper