4.7 Article

Spatial distribution of microplastics in sediments and surface waters of the southern North Sea

期刊

ENVIRONMENTAL POLLUTION
卷 252, 期 -, 页码 1719-1729

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.envpol.2019.06.093

关键词

FTIR imaging; Microplastic; Enzymatic sample treatment; Polymer diversity; Spatial distribution patterns

资金

  1. Deutsche Bundesstiftung Umwelt (DBU)
  2. German Federal Ministry of Education and Research (Project BASEMAN - Defining the baselines and standards for microplastics analyses in European waters
  3. BMBF) [03F0734A]

向作者/读者索取更多资源

Microplastic pollution within the marine environment is of pressing concern globally. Accordingly, spatial monitoring of microplastic concentrations, composition and size distribution may help to identify sources and entry pathways, and hence allow initiating focused mitigation. Spatial distribution patterns of microplastics were investigated in two compartments of the southern North Sea by collecting sub-littoral sediment and surface water samples from 24 stations. Large microplastics (500-5000 mu m) were detected visually and identified using attenuated total reflection (ATR) Fourier transform infrared (FTIR) spectroscopy. The remaining sample was digested enzymatically, concentrated onto filters and analyzed for small microplastics (11-500 mu m) using Focal Plane Array (FPA) FTIR imaging. Microplastics were detected in all samples with concentrations ranging between 2.8 and 1188.8 particles kg(-1) for sediments and 0.1-245.4 particles m(-3) for surface waters. On average 98% of microplastics were <100 mu m in sediments and 86% in surface waters. The most prevalent polymer types in both compartments were polypropylene, acrylates/polyurethane/varnish, and polyamide. However, polymer composition differed significantly between sediment and surface water samples as well as between the Frisian Islands and the English Channel sites. These results show that microplastics are not evenly distributed, in neither location nor size, which is illuminating regarding the development of monitoring protocols. (C) 2019 Elsevier Ltd. All rights reserved.

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