Literature DB >> 30641445

Development and testing of a fractionated filtration for sampling of microplastics in water.

Claus Gerhard Bannick1, Regine Szewzyk2, Mathias Ricking2, Sara Schniegler3, Nathan Obermaier2, Anne Kathrin Barthel2, Korinna Altmann4, Paul Eisentraut4, Ulrike Braun4.   

Abstract

A harmonization of sampling, sample preparation and detection is pivotal in order to obtain comparable data on microplastics (MP) in the environment. This paper develops and proposes a suitable sampling concept for waterbodies that considers different plastic specific properties and influencing factors in the environment. Both artificial water including defined MP fractions and the discharge of a wastewater treatment plant were used to verify the derived sampling procedure, sample preparation and the subsequent analysis of MP using thermal extraction-desorption gas chromatography - mass spectrometry (TED-GC-MS). A major finding of this paper is that an application of various particle size classes greatly improves the practical handling of the sampling equipment. Size classes also enable the TED-GC-MS to provide any data on the MP size distribution, a substantial sampling property affecting both the necessary sampling volume and the optimal sampling depth. In the artificial water with defined MP fractions, the recovery rates ranged from 80 to 110%, depending on the different MP types and MP size classes. In the treated wastewater, we found both polyethylene and polystyrene in different size classes and quantities.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Microplastics; Representative sampling; Sampling; Sampling techniques; Water

Mesh:

Substances:

Year:  2018        PMID: 30641445     DOI: 10.1016/j.watres.2018.10.045

Source DB:  PubMed          Journal:  Water Res        ISSN: 0043-1354            Impact factor:   11.236


  1 in total

1.  Identification of microplastics in wastewater after cascade filtration using Pyrolysis-GC-MS.

Authors:  Matin Funck; Aylin Yildirim; Carmen Nickel; Jürgen Schram; Torsten C Schmidt; Jochen Tuerk
Journal:  MethodsX       Date:  2019-12-19
  1 in total

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