4.7 Article

Microplastics in a deep, dimictic lake of the North German Plain with special regard to vertical distribution patterns

Journal

ENVIRONMENTAL POLLUTION
Volume 267, Issue -, Pages -

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.envpol.2020.115507

Keywords

Freshwater; Water column; Limnic; Nile red staining; mRaman-spectroscopy

Funding

  1. Deutsche Forschungsgemeinschaft (project MICROLIM) [411261467]
  2. Friedrich-Ebert-Stiftung (FES)

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The investigation of microplastics (MPs) in freshwater has received increased attention within the last decade. To date, sampling is mainly conducted at the surface of both rivers and lakes and only a few studies assessed the vertical distribution of MPs in the water column of freshwater bodies. To contribute to the understanding of MP pollution in the water column of freshwater lakes, this study evaluated the vertical profile of MPs in Lake Tollense considering particles between 63 and 5000 mm in size. Sampling was conducted on three occasions at three depths (surface, 7 m and 10 m) along a transect including eight sampling stations. The retrieved samples were digested with hydrogen peroxide and sodium hypochlorite and investigated via Nile Red staining and fluorescence microscopy. Subsequently, a sub sample of stained particles was verified by mRaman-spectroscopy. The vertical distribution of MPs Lake Tollense differed considerably between particle shapes (irregular particles (IPs) and fibers). Fibers did not show a noticeable pattern with depth and ranged between 22 fibers m(-3) at 0 m to 19 fibers m(-3) at 10 m. In contrast, IPs were distinctly less abundant in sub-surface samples with concentrations between 50 IPs m(-3) at 0 m to 29 IPs m(-3) at 10 m. Concerning IPs, buoyant polymers (mainly PE and PP) and concerning fibers PET and PP dominated the polymeric composition. Besides particle inherent properties, wind-induced mixing is likely affecting the intensity of vertical concentration gradients. This study highlights the need for depth-integrated sampling approaches in order to achieve representative data without overor underestimating the overall abundances. (C) 2020 Elsevier Ltd. All rights reserved.

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