A straightforward Py-GC/MS methodology for quantification of microplastics in tap water
This study introduces a cost-effective and streamlined Pyrolysis Gas Chromatography-Mass Spectrometry (Py-GC/MS) methodology for detecting and quantifying microplastics in tap water, focusing on seven common polymers. Unlike conventional approaches relying on expensive pyrolyzate libraries, this met...
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Elsevier
2025-06-01
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| Series: | MethodsX |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2215016125000214 |
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| author | Alexander Ccanccapa-Cartagena Anandu Nair Gopakumar Maryam Salehi |
| author_facet | Alexander Ccanccapa-Cartagena Anandu Nair Gopakumar Maryam Salehi |
| author_sort | Alexander Ccanccapa-Cartagena |
| collection | DOAJ |
| description | This study introduces a cost-effective and streamlined Pyrolysis Gas Chromatography-Mass Spectrometry (Py-GC/MS) methodology for detecting and quantifying microplastics in tap water, focusing on seven common polymers. Unlike conventional approaches relying on 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) and confirms findings using pure polymer standards. Recovery was evaluated using two approaches, demonstrating that analysis of the entire filter provided more accurate results compared to extrapolation from subsections. The method exhibited excellent linearity for all targeted polymers (R² > 0.996) and achieved detection limits as low as 0.01 µg for polystyrene (PS) and up to 2.59 µg for polyethylene (PE). Application to tap water samples revealed consistent detection of PS, ranging from 2.532 to 2.571 ng/L in morning samples and 0.867 to 1.540 ng/L in afternoon samples, with polypropylene and PE below the limit of quantification (<LOQ). This method provides a reliable, efficient, and cost-effective tool for routine laboratory analysis of microplastics in tap water and other environmental matrices. • A 23-minute Py-GC/MS method efficiently quantifies microplastics in tap water. • Cost-effective strategy using commercially available mass spectral libraries. • Accurate quantification with ng/L sensitivity validated by pure polymer standards. |
| format | Article |
| id | doaj-art-ea063bcced774712b22d170951e2d5c3 |
| institution | Kabale University |
| issn | 2215-0161 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Elsevier |
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| series | MethodsX |
| spelling | doaj-art-ea063bcced774712b22d170951e2d5c32025-01-22T05:42:33ZengElsevierMethodsX2215-01612025-06-0114103173A straightforward Py-GC/MS methodology for quantification of microplastics in tap waterAlexander Ccanccapa-Cartagena0Anandu Nair Gopakumar1Maryam Salehi2Department of Civil and Environmental Engineering, University of Missouri, Columbia, MO, USADepartment of Civil and Environmental Engineering, University of Missouri, Columbia, MO, USADepartment of Civil and Environmental Engineering, University of Missouri, Columbia, MO, USA; Missouri Water Center, MO, USA; Correspondence author at: C2641, Lafferre Hall, 416 S 6th St, Columbia, MO, USA.This study introduces a cost-effective and streamlined Pyrolysis Gas Chromatography-Mass Spectrometry (Py-GC/MS) methodology for detecting and quantifying microplastics in tap water, focusing on seven common polymers. Unlike conventional approaches relying on 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) and confirms findings using pure polymer standards. Recovery was evaluated using two approaches, demonstrating that analysis of the entire filter provided more accurate results compared to extrapolation from subsections. The method exhibited excellent linearity for all targeted polymers (R² > 0.996) and achieved detection limits as low as 0.01 µg for polystyrene (PS) and up to 2.59 µg for polyethylene (PE). Application to tap water samples revealed consistent detection of PS, ranging from 2.532 to 2.571 ng/L in morning samples and 0.867 to 1.540 ng/L in afternoon samples, with polypropylene and PE below the limit of quantification (<LOQ). This method provides a reliable, efficient, and cost-effective tool for routine laboratory analysis of microplastics in tap water and other environmental matrices. • A 23-minute Py-GC/MS method efficiently quantifies microplastics in tap water. • Cost-effective strategy using commercially available mass spectral libraries. • Accurate quantification with ng/L sensitivity validated by pure polymer standards.http://www.sciencedirect.com/science/article/pii/S2215016125000214Py-GC/MS workflow for MPs analysis |
| spellingShingle | Alexander Ccanccapa-Cartagena Anandu Nair Gopakumar Maryam Salehi A straightforward Py-GC/MS methodology for quantification of microplastics in tap water MethodsX Py-GC/MS workflow for MPs analysis |
| title | A straightforward Py-GC/MS methodology for quantification of microplastics in tap water |
| title_full | A straightforward Py-GC/MS methodology for quantification of microplastics in tap water |
| title_fullStr | A straightforward Py-GC/MS methodology for quantification of microplastics in tap water |
| title_full_unstemmed | A straightforward Py-GC/MS methodology for quantification of microplastics in tap water |
| title_short | A straightforward Py-GC/MS methodology for quantification of microplastics in tap water |
| title_sort | straightforward py gc ms methodology for quantification of microplastics in tap water |
| topic | Py-GC/MS workflow for MPs analysis |
| url | http://www.sciencedirect.com/science/article/pii/S2215016125000214 |
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