CEN, Universität Hamburg, Bundesstraße 55, 20146 Hamburg, Germany.
CEN, Universität Hamburg, Bundesstraße 55, 20146 Hamburg, Germany.
Environ Pollut. 2019 Nov;254(Pt A):112970. doi: 10.1016/j.envpol.2019.112970. Epub 2019 Jul 27.
To broaden the understanding of sources, pathways and sinks for microplastic pollution in the environment, the exact and representative determination of pollution levels is crucial. Still, sampling techniques differ greatly between studies and the influence of these differences is not fully understood. Thus, we evaluate the representativeness of manta trawling and pump sampling for microplastics in a freshwater lake. While large microplastics are not captured by most pump sampling approaches due to their low abundance, small and fibrous microplastics pass the relatively coarse nets of volume-reduced techniques. Testing different water volumes for pump samples, we show that sample volumes should be large enough to minimize overestimation induced by scaling up results. Moreover, we discuss the influence of sample numbers for microplastic analysis. Finally, we argue that manta trawling and pump sampling are complementary techniques, as they cover different parts of the overall microplastic pollution.
为了更全面地了解环境中微塑料污染的来源、途径和汇，准确而有代表性的污染水平测定至关重要。然而，不同研究采用的采样技术差异很大，其影响也不完全清楚。因此，我们评估了在淡水湖中使用帘式拖网和泵吸式采样法对微塑料进行采样的代表性。由于数量较少，大多数泵吸式采样方法无法采集到大尺寸的微塑料，而体积减少技术的相对较粗的网眼则会使小尺寸和纤维状的微塑料通过。我们通过测试不同体积的泵吸式采样水样，发现为了尽量减少因结果放大而导致的高估，水样体积应足够大。此外，我们还讨论了微塑料分析中样本数量的影响。最后，我们认为帘式拖网和泵吸式采样是互补的技术，因为它们可以覆盖整体微塑料污染的不同部分。
