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When every particle matters: A QuEChERS approach to extract microplastics from environmental samples

The identification of microplastics (MP), especially small (<500 μm) MP, using automated surface-chemistry approaches requires the best possible reduction of natural particles whilst preserving the integrity of the targeted synthetic polymers particles. In general, both natural and synthetic part...

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Detalles Bibliográficos
Autores principales: Enders, Kristina, Lenz, Robin, Ivar do Sul, Juliana A., Tagg, Alexander S., Labrenz, Matthias
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7016028/
https://www.ncbi.nlm.nih.gov/pubmed/32071889
http://dx.doi.org/10.1016/j.mex.2020.100784
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author Enders, Kristina
Lenz, Robin
Ivar do Sul, Juliana A.
Tagg, Alexander S.
Labrenz, Matthias
author_facet Enders, Kristina
Lenz, Robin
Ivar do Sul, Juliana A.
Tagg, Alexander S.
Labrenz, Matthias
author_sort Enders, Kristina
collection PubMed
description The identification of microplastics (MP), especially small (<500 μm) MP, using automated surface-chemistry approaches requires the best possible reduction of natural particles whilst preserving the integrity of the targeted synthetic polymers particles. In general, both natural and synthetic particles can be highly diverse physically and chemically and MP extraction, particularly from complex matrices such as sediments, sludge and soils, requires efficient method pipelines. Our paper presents a universal framework of modular protocols (presented in a decision tree) that fulfil predefined user requirements (QuEChERS: Quick, Easy, Cheap, Effective, Rugged, Safe) as well as providing best practises for reasonable MP working conditions within a standard laboratory. New procedures and technical innovations for density separation of particle-rich matrices are presented, such as a spiral conveyor developed and validated for MP recovery. In sharing such best-practice protocols, we aim to help in the push towards MP quantification method standardisation. • Publication of protocols of an entire MP extraction (10 μm – 5 mm) pipeline for particle-based analysis of various environmental matrices; • Modularity: Optimised quantitative sample preparation adapted to particle sizes and sample matrices; • New protocols and technical innovations (e.g. spiral conveyor) optimise MP extraction.
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spelling pubmed-70160282020-02-18 When every particle matters: A QuEChERS approach to extract microplastics from environmental samples Enders, Kristina Lenz, Robin Ivar do Sul, Juliana A. Tagg, Alexander S. Labrenz, Matthias MethodsX Article(s) from the Special Issue on Microplastics analysis The identification of microplastics (MP), especially small (<500 μm) MP, using automated surface-chemistry approaches requires the best possible reduction of natural particles whilst preserving the integrity of the targeted synthetic polymers particles. In general, both natural and synthetic particles can be highly diverse physically and chemically and MP extraction, particularly from complex matrices such as sediments, sludge and soils, requires efficient method pipelines. Our paper presents a universal framework of modular protocols (presented in a decision tree) that fulfil predefined user requirements (QuEChERS: Quick, Easy, Cheap, Effective, Rugged, Safe) as well as providing best practises for reasonable MP working conditions within a standard laboratory. New procedures and technical innovations for density separation of particle-rich matrices are presented, such as a spiral conveyor developed and validated for MP recovery. In sharing such best-practice protocols, we aim to help in the push towards MP quantification method standardisation. • Publication of protocols of an entire MP extraction (10 μm – 5 mm) pipeline for particle-based analysis of various environmental matrices; • Modularity: Optimised quantitative sample preparation adapted to particle sizes and sample matrices; • New protocols and technical innovations (e.g. spiral conveyor) optimise MP extraction. Elsevier 2020-01-15 /pmc/articles/PMC7016028/ /pubmed/32071889 http://dx.doi.org/10.1016/j.mex.2020.100784 Text en © 2020 Published by Elsevier B.V. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article(s) from the Special Issue on Microplastics analysis
Enders, Kristina
Lenz, Robin
Ivar do Sul, Juliana A.
Tagg, Alexander S.
Labrenz, Matthias
When every particle matters: A QuEChERS approach to extract microplastics from environmental samples
title When every particle matters: A QuEChERS approach to extract microplastics from environmental samples
title_full When every particle matters: A QuEChERS approach to extract microplastics from environmental samples
title_fullStr When every particle matters: A QuEChERS approach to extract microplastics from environmental samples
title_full_unstemmed When every particle matters: A QuEChERS approach to extract microplastics from environmental samples
title_short When every particle matters: A QuEChERS approach to extract microplastics from environmental samples
title_sort when every particle matters: a quechers approach to extract microplastics from environmental samples
topic Article(s) from the Special Issue on Microplastics analysis
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7016028/
https://www.ncbi.nlm.nih.gov/pubmed/32071889
http://dx.doi.org/10.1016/j.mex.2020.100784
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