Funck Matin, Yildirim Aylin, Nickel Carmen, Schram Jürgen, Schmidt Torsten C, Tuerk Jochen
Institut für Energie - und Umwelttechnik e.V. (IUTA, Institute of Energy and Environmental Technology), Bliersheimer Str. 58-60, 47229 Duisburg, Germany.
Instrumental Analytical Chemistry (IAC), University of Duisburg-Essen, Universitätsstrasse 5, 45141 Essen, Germany.
MethodsX. 2019 Dec 19;7:100778. doi: 10.1016/j.mex.2019.100778. eCollection 2020.
The combination of a representative microplastic sampling method and a fast-quantitative analysis using Pyrolysis-GC-MS (Py-GC-MS) for investigation of the microplastic load and mass balances is presented in this work. A representative microplastic filtration requires a method allowing quick extraction of the sample. The developed steel based cascadic microplastic filtration uses steel basket filters with mesh sizes of 100 μm, 50 μm and 10 μm and a mean recovery of 86 % without cross contamination was achieved. Thermoanalytical methods have the advantage of minimal sample preparation with short analysis times. The presented platinum filament-based Py-GC-MS method requires little sample preparation and quantification limits for polystyrene (PS) and polyethylene (PE) were 0.03 μg and 1 μg absolute, respectively. The relative standard deviation of the analytical method is 11 %. The combined method allows representative sampling and analysis of MP from water bodies and waste water treatment plants within 48 h. •Presentation of a validated steel based cascadic microplastic filtration plant.•Fast and reproduceable Py-GC-MS analysis method for microplastic.•Py-GC-MS allows microplastic analysis with little sample preparation.
本文介绍了一种具有代表性的微塑料采样方法与热解气相色谱-质谱联用(Py-GC-MS)快速定量分析方法相结合,用于研究微塑料负荷和质量平衡。具有代表性的微塑料过滤需要一种能够快速提取样品的方法。所开发的基于钢的级联微塑料过滤方法使用网孔尺寸为100μm、50μm和10μm的钢篮过滤器,平均回收率达到86%,且无交叉污染。热分析方法具有样品制备最少且分析时间短的优点。所提出的基于铂丝的Py-GC-MS方法所需样品制备极少,聚苯乙烯(PS)和聚乙烯(PE)的定量限分别为0.03μg和1μg绝对量。该分析方法的相对标准偏差为11%。该组合方法能够在48小时内对水体和污水处理厂中的微塑料进行代表性采样和分析。•介绍一种经过验证的基于钢的级联微塑料过滤装置。•用于微塑料的快速且可重复的Py-GC-MS分析方法。•Py-GC-MS允许在极少样品制备的情况下进行微塑料分析。