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Identification of microplastics in wastewater after cascade filtration using Pyrolysis-GC–MS
The combination of a representative microplastic sampling method and a fast-quantitative analysis using Pyrolysis-GC–MS (Py-GC–MS) for investigation of the microplastic load and mass balances is presented in this work. A representative microplastic filtration requires a method allowing quick extract...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7152672/ https://www.ncbi.nlm.nih.gov/pubmed/32300541 http://dx.doi.org/10.1016/j.mex.2019.100778 |
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author | Funck, Matin Yildirim, Aylin Nickel, Carmen Schram, Jürgen Schmidt, Torsten C. Tuerk, Jochen |
author_facet | Funck, Matin Yildirim, Aylin Nickel, Carmen Schram, Jürgen Schmidt, Torsten C. Tuerk, Jochen |
author_sort | Funck, Matin |
collection | PubMed |
description | The combination of a representative microplastic sampling method and a fast-quantitative analysis using Pyrolysis-GC–MS (Py-GC–MS) for investigation of the microplastic load and mass balances is presented in this work. A representative microplastic filtration requires a method allowing quick extraction of the sample. The developed steel based cascadic microplastic filtration uses steel basket filters with mesh sizes of 100 μm, 50 μm and 10 μm and a mean recovery of 86 % without cross contamination was achieved. Thermoanalytical methods have the advantage of minimal sample preparation with short analysis times. The presented platinum filament-based Py-GC–MS method requires little sample preparation and quantification limits for polystyrene (PS) and polyethylene (PE) were 0.03 μg and 1 μg absolute, respectively. The relative standard deviation of the analytical method is 11 %. The combined method allows representative sampling and analysis of MP from water bodies and waste water treatment plants within 48 h. • Presentation of a validated steel based cascadic microplastic filtration plant. • Fast and reproduceable Py-GC–MS analysis method for microplastic. • Py-GC–MS allows microplastic analysis with little sample preparation. |
format | Online Article Text |
id | pubmed-7152672 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-71526722020-04-16 Identification of microplastics in wastewater after cascade filtration using Pyrolysis-GC–MS Funck, Matin Yildirim, Aylin Nickel, Carmen Schram, Jürgen Schmidt, Torsten C. Tuerk, Jochen MethodsX Environmental Science The combination of a representative microplastic sampling method and a fast-quantitative analysis using Pyrolysis-GC–MS (Py-GC–MS) for investigation of the microplastic load and mass balances is presented in this work. A representative microplastic filtration requires a method allowing quick extraction of the sample. The developed steel based cascadic microplastic filtration uses steel basket filters with mesh sizes of 100 μm, 50 μm and 10 μm and a mean recovery of 86 % without cross contamination was achieved. Thermoanalytical methods have the advantage of minimal sample preparation with short analysis times. The presented platinum filament-based Py-GC–MS method requires little sample preparation and quantification limits for polystyrene (PS) and polyethylene (PE) were 0.03 μg and 1 μg absolute, respectively. The relative standard deviation of the analytical method is 11 %. The combined method allows representative sampling and analysis of MP from water bodies and waste water treatment plants within 48 h. • Presentation of a validated steel based cascadic microplastic filtration plant. • Fast and reproduceable Py-GC–MS analysis method for microplastic. • Py-GC–MS allows microplastic analysis with little sample preparation. Elsevier 2019-12-19 /pmc/articles/PMC7152672/ /pubmed/32300541 http://dx.doi.org/10.1016/j.mex.2019.100778 Text en © 2020 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Environmental Science Funck, Matin Yildirim, Aylin Nickel, Carmen Schram, Jürgen Schmidt, Torsten C. Tuerk, Jochen Identification of microplastics in wastewater after cascade filtration using Pyrolysis-GC–MS |
title | Identification of microplastics in wastewater after cascade filtration using Pyrolysis-GC–MS |
title_full | Identification of microplastics in wastewater after cascade filtration using Pyrolysis-GC–MS |
title_fullStr | Identification of microplastics in wastewater after cascade filtration using Pyrolysis-GC–MS |
title_full_unstemmed | Identification of microplastics in wastewater after cascade filtration using Pyrolysis-GC–MS |
title_short | Identification of microplastics in wastewater after cascade filtration using Pyrolysis-GC–MS |
title_sort | identification of microplastics in wastewater after cascade filtration using pyrolysis-gc–ms |
topic | Environmental Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7152672/ https://www.ncbi.nlm.nih.gov/pubmed/32300541 http://dx.doi.org/10.1016/j.mex.2019.100778 |
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