Enders Kristina, Lenz Robin, Ivar do Sul Juliana A, Tagg Alexander S, Labrenz Matthias
Leibniz Institute for Baltic Sea Research, Seestraße 15, 18119 Rostock, Germany.
MethodsX. 2020 Jan 15;7:100784. doi: 10.1016/j.mex.2020.100784. eCollection 2020.
The identification of microplastics (MP), especially small (<500 μm) MP, using automated surface-chemistry approaches requires the best possible reduction of natural particles whilst preserving the integrity of the targeted synthetic polymers particles. In general, both natural and synthetic particles can be highly diverse physically and chemically and MP extraction, particularly from complex matrices such as sediments, sludge and soils, requires efficient method pipelines. Our paper presents a universal framework of modular protocols (presented in a decision tree) that fulfil predefined user requirements (QuEChERS: Quick, Easy, Cheap, Effective, Rugged, Safe) as well as providing best practises for reasonable MP working conditions within a standard laboratory. New procedures and technical innovations for density separation of particle-rich matrices are presented, such as a spiral conveyor developed and validated for MP recovery. In sharing such best-practice protocols, we aim to help in the push towards MP quantification method standardisation. •Publication of protocols of an entire MP extraction (10 μm - 5 mm) pipeline for particle-based analysis of various environmental matrices•Modularity: Optimised quantitative sample preparation adapted to particle sizes and sample matrices•New protocols and technical innovations (e.g. spiral conveyor) optimise MP extraction.
使用自动化表面化学方法识别微塑料(MP),尤其是小尺寸(<500μm)的微塑料,需要在尽可能减少天然颗粒的同时,保持目标合成聚合物颗粒的完整性。一般来说,天然颗粒和合成颗粒在物理和化学性质上可能高度多样,从沉积物、污泥和土壤等复杂基质中提取微塑料需要高效的方法流程。我们的论文提出了一个模块化协议的通用框架(以决策树形式呈现),该框架满足预定义的用户要求(QuEChERS:快速、简便、廉价、有效、耐用、安全),并为标准实验室中合理的微塑料工作条件提供最佳实践。文中介绍了用于富含颗粒基质密度分离的新程序和技术创新,例如为微塑料回收而开发和验证的螺旋输送机。在分享此类最佳实践协议时,我们旨在推动微塑料定量方法的标准化。
• 发布用于各种环境基质颗粒分析的完整微塑料提取(10μm - 5mm)流程协议
• 模块化:针对颗粒大小和样品基质优化定量样品制备
• 新协议和技术创新(如螺旋输送机)优化微塑料提取