E2S UPPA, CNRS, IPREM, Université de Pau et des Pays de l'Adour, Pau, France.
Géosciences Rennes, UMR 6118, CNRS - Université de Rennes 1, Av. Général Leclerc, Campus de Beaulieu, 35000 Rennes, France.
Mar Pollut Bull. 2020 Nov;160:111716. doi: 10.1016/j.marpolbul.2020.111716. Epub 2020 Sep 25.
Due to the dramatic quantity of plastic debris released into our environment, one of the biggest challenges of the next decades is to trace and quantify microplastics (MPs) in our environments, especially to better evaluate their capacity to transport other contaminants such as trace metals. In this study, trace elements (Fe, Cu, Zn, As, Cd, Sn, Sb, Pb, and U) were analyzed in the microplastic subsurface (200 μm) using laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS). Microplastics subjected to the marine environment were collected on beaches (Guadeloupe) exposed to the north Atlantic gyre. We established a strategy to discriminate sorbed contaminants from additives based on the metal concentration profiles in MP subsurface using qualitative and quantitative approaches. A spatiotemporal correlation of the sorption pattern was proposed to compare MPs in terms of relative exposure time and time-weighted average concentrations in the exposure media.
由于大量塑料碎片被释放到我们的环境中，未来几十年最大的挑战之一是追踪和量化环境中的微塑料（MPs），特别是更好地评估它们运输痕量金属等其他污染物的能力。在这项研究中，使用激光烧蚀电感耦合等离子体质谱法（LA-ICP-MS）分析了微塑料亚表层（200 μm）中的微量元素（Fe、Cu、Zn、As、Cd、Sn、Sb、Pb 和 U）。采集了暴露于北大西洋环流中的瓜德罗普岛海滩上的海洋环境中的微塑料。我们建立了一种策略，基于 MPs 亚表层中金属浓度分布，通过定性和定量方法来区分吸附污染物和添加剂。提出了一种吸附模式的时空相关性，以根据相对暴露时间和暴露介质中的时间加权平均浓度来比较 MPs。
