Integrating AF4 and Py-GC-MS for Combined Size-Resolved Polymer-Compositional Analysis of Nanoplastics with Application to Wastewater
Hayder, Maria Veclin, Cloé Ahern, Aislinn Chojnacka, Aleksandra Roex, Erwin Meier, Florian Gruter, Gert-Jan M van Wezel, Annemarie P Astefanei, Alina
Hayder, Maria
Veclin, Cloé
Ahern, Aislinn
Chojnacka, Aleksandra
Roex, Erwin
Meier, Florian
Gruter, Gert-Jan M
van Wezel, Annemarie P
Astefanei, Alina
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Open Access
Type
Journal Article
Article
Article
Language
en
Date of publication
2025-07-11
Year of publication
Research Projects
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Journal Issue
Title
Integrating AF4 and Py-GC-MS for Combined Size-Resolved Polymer-Compositional Analysis of Nanoplastics with Application to Wastewater
Translated Title
Published in
Anal Chem 2025; 97(28):15216-15224
Abstract
Although nanoplastics are a widespread pollutant, their characterization and quantification in environmental samples remains challenging with no standard approach currently available. Here, we describe a novel workflow for nanoplastic analysis in environmental water samples, incorporating asymmetrical flow field-flow fractionation with multiangle light scattering (AF4-MALS) and pyrolysis-gas chromatography-mass spectrometry (Py-GC-MS) in an offline combination. The techniques complement each other as AF4-MALS enables sample cleanup and size separation down to about 1 nm, while Py-GC-MS identifies and quantifies polymers in each size fraction. Such a setup may provide comprehensive information about nanoplastic size distributions and polymer composition within a single workflow. After careful validation using standard polymer particles, we applied the method to wastewater samples. Our results show that the offline AF4-MALS-Py-GC-MS combination can identify certain nanoplastics in a complex environmental matrix. The mass quantification limits depend on the polymer type and range from 0.64 ng for PS to 180 ng for polyolefins. With our workflow, 8.8 ± 1.8 ng/mL polystyrene nanoplastics were quantified and polyvinyl chloride was potentially identified in untreated wastewater. Polyolefin and poly(ethylene terephthalate) signals were below detection limits. While still in its early stages, this novel approach provides a promising foundation for particulate polymer analysis and highlights areas for further refinement, with the low recovery and potential of matrix interferences as drawbacks.