在被动空气采样器中对285种极地和非极地有机污染物进行多种残留提取方法的分析开发
Dani Khoury1, Supansa Chimjarn2, Olivier Delhomme3
1Institute of Chemistry and Processes for Energy, Environment and Health (ICPEES - CNRS UMR 7515), University of Strasbourg, 25 rue Becquerel, 67087 Strasbourg Cedex 2, France; ANSES, Nancy Laboratory for Hydrology, Water Chemistry Department, 40 Rue Lionnois, 54000Nancy, France.
使用加速溶剂提取 (ASE) 和固相提取 (SPE) 的新分析方法有效量化了285种有机空气污染物. 这种强大的协议为全面的环境监测提供了高灵敏度.
科学领域:
- 环境化学环境化学
- 分析化学 分析化学
- 空气质量监测 空气质量监测
背景情况:
- 准确量化各种有机空气污染物对于评估环境和健康影响至关重要.
- 被动采样为长期空气质量监测提供了一种具有成本效益的方法.
- 现有的分析方法可能缺乏复杂空气矩阵所需的灵敏度或广泛覆盖范围.
研究的目的:
- 开发和验证一项用于同时定量285种有机空气污染物的新型分析协议.
- 优化加速溶剂提取 (ASE) 和固相提取 (SPE) 参数,以提高性能.
- 评估该方法对空气中的有机化合物的灵敏度,线性,稳定性和精度.
主要方法:
- 组合加速溶剂提取 (ASE) 和固态提取 (SPE) 用于样品制备.
- 使用N-doped碳涂层碳化泡 (NMC@SiC) 作为被动采样材料.
- 系统优化ASE和SPE参数,然后进行方法验证.
主要成果:
- 在六个类别中对285种有机化合物的量化:氨基,有机酸,农药 (包括OCP),,PAH和PCB.
- 取得了优异的线性 (r2 > 0.99) 和非常低的量化极限 (LOQ),特别是PAH,PCB和OCP (中位数LOQ < 1.2 pg m-3).
- 证明了高稳定性,大多数化合物回收率超过了可接受的值和准确性 (RSD<30%) 对大多数分析物.
结论:
- 开发的ASE-SPE协议具有高度敏感性,并为空气中的有机污染物提供广泛的化学覆盖.
- 该方法是稳固和精确的,适用于复杂的环境样本中的超微量级量化.
- 该协议使有机空气污染物的全面监测成为可能,有助于改善空气质量评估.
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