4.1 Article

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

期刊

METHODSX
卷 7, 期 -, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.mex.2020.100784

关键词

Sequential protocol; Purification technique; Chemical digestion; Handbook for laboratory work; Manual for good practices on microplastic extraction; Contamination prevention; Recovery rates; Wastewater; Particle-rich

资金

  1. BONUS (Art 185) - European Union [03F0775A]
  2. BONUS (Art 185) - Federal Ministry of Education and Research (BMBF) [03F0775A]
  3. BMBF project MicroCatch_Balt [03F0788A]
  4. BMBF project PLASTRAT [02WPL1446 J]

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The identification of microplastics (MP), especially small (<500 mu m) 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 mu m - 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 (C) 2020 Published by Elsevier B.V.

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