A Straightforward Py-GC/MS Methodology for Quantification of Microplastics in Tap Water DOI Creative Commons
Alexander Ccanccapa-Cartagena, Anandu Nair Gopakumar, Maryam Salehi

et al.

MethodsX, Journal Year: 2025, Volume and Issue: 14, P. 103173 - 103173

Published: Jan. 18, 2025

This study introduces a cost-effective and streamlined Pyrolysis Gas Chromatography-Mass Spectrometry (Py-GC/MS) methodology for detecting quantifying microplastics in tap water, focusing on seven common polymers. Unlike conventional approaches relying expensive pyrolyzate libraries, this method identifies pyrolysis fragments by matching their m/z values with commercially available mass spectral libraries (Wiley Registry 12th Edition/NIST 2020) confirms findings using pure polymer standards. Recovery was evaluated two approaches, demonstrating that analysis of the entire filter provided more accurate results compared to extrapolation from subsections. The exhibited excellent linearity all targeted polymers (R² > 0.996) achieved detection limits as low 0.01 µg polystyrene (PS) up 2.59 polyethylene (PE). Application water samples revealed consistent PS, ranging 2.532 2.571 ng/L morning 0.867 1.540 afternoon samples, polypropylene PE below limit quantification (

Language: Английский

A Straightforward Py-GC/MS Methodology for Quantification of Microplastics in Tap Water DOI Creative Commons
Alexander Ccanccapa-Cartagena, Anandu Nair Gopakumar, Maryam Salehi

et al.

MethodsX, Journal Year: 2025, Volume and Issue: 14, P. 103173 - 103173

Published: Jan. 18, 2025

This study introduces a cost-effective and streamlined Pyrolysis Gas Chromatography-Mass Spectrometry (Py-GC/MS) methodology for detecting quantifying microplastics in tap water, focusing on seven common polymers. Unlike conventional approaches relying expensive pyrolyzate libraries, this method identifies pyrolysis fragments by matching their m/z values with commercially available mass spectral libraries (Wiley Registry 12th Edition/NIST 2020) confirms findings using pure polymer standards. Recovery was evaluated two approaches, demonstrating that analysis of the entire filter provided more accurate results compared to extrapolation from subsections. The exhibited excellent linearity all targeted polymers (R² > 0.996) achieved detection limits as low 0.01 µg polystyrene (PS) up 2.59 polyethylene (PE). Application water samples revealed consistent PS, ranging 2.532 2.571 ng/L morning 0.867 1.540 afternoon samples, polypropylene PE below limit quantification (

Language: Английский

Citations

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