对微塑料的Py-GC-MS分析:在分析废水时解锁矩阵挑战和样本回收,以检测聚烯和聚乙烯的存在
Jeanette Lykkemark1, Marco Mattonai2, Alvise Vianello1
1Department of the Built Environment, Aalborg University, Aalborg, Denmark.
Water research
|July 12, 2024
概括
在废水中对聚乙烯和聚烯微塑料的溶解气体色谱-质谱学 (Py-GC-MS) 分析显示,没有显著的矩阵干扰. 然而,样品制备步骤导致了大量的聚合物质量损失,可能会影响检测极限.
科学领域:
- 环境科学 环境科学
- 分析化学 分析化学
- 聚合物科学 聚合物科学
背景情况:
- 废水中的微塑料 (MP) 污染是一个日益严重的环境问题.
- 准确量化聚钢 (PS) 和聚烯 (PP) 等微塑料对于环境监测至关重要.
- 热解气色谱-质谱 (Py-GC-MS) 是一种潜在的分析技术,用于MP的识别和量化.
研究的目的:
- 在废水中对PS和PP微塑料进行Py-GC-MS分析时调查矩阵干扰和聚合物回收.
- 评估多步骤样本准备程序对微塑料分析的影响.
- 确定Py-GC-MS适用于复杂废水矩阵中的微塑料量化.
主要方法:
- 废水样本经过六步准备列车,以减少有机物质.
- 通过比较PS和PP的矩阵内和外部校准曲线来评估矩阵效应.
- 微塑料回收在每个制备步骤后使用减肥PS标准进行了评估.
- 使用Py-GC-MS进行聚钢和聚烯微塑料的分析.
主要成果:
- 在样本准备过程中,没有观察到PS和PP的显著矩阵效应.
- 在连续的样品制备步骤之间发生了显著的聚合物质量损失.
- 这种质量损失可能导致微塑料低于分析方法的检测极限.
结论:
- Py-GC-MS是废水中微塑料量化的可行方法,显示最小的矩阵干扰.
- 样品准备步骤虽然减少了矩阵效应,但导致了显著的微塑料质量损失.
- 可能需要进一步优化或替代方法来改善微塑料回收和检测灵敏度.
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