The University of Kitakyushu, Kitakyushu, Japan.
Kitakyushu Life Science Center, Kitakyushu, Japan.
Environ Sci Pollut Res Int. 2017 Dec;24(34):26396-26409. doi: 10.1007/s11356-017-9929-x. Epub 2017 Sep 25.
A comprehensive screening method for 311 organic compounds with a wide range of physicochemical properties (log Pow -2.2-8.53) in water samples was developed by combining solid-phase extraction with liquid chromatography-high-resolution time-of-flight mass spectrometry. Method optimization using 128 pesticides revealed that tandem extraction with styrene-divinylbenzene polymer and activated carbon solid-phase extraction cartridges at pH 7.0 was optimal. The developed screening method was able to extract 190 model compounds with average recovery of 80.8% and average relative standard deviations (RSD) of 13.5% from spiked reagent water at 0.20 μg L, and 87.1% recovery and 10.8% RSD at 0.05 μg L. Spike-recovery testing (0.20 μg L) using real sewage treatment plant effluents resulted in an average recovery and average RSD of 190 model compounds of 77.4 and 13.1%, respectively. The method was applied to the influent and effluent of five sewage treatment plants in Kitakyushu, Japan, with 29 out of 311 analytes being observed at least once. The results showed that this method can screen for a large number of chemicals with a wide range of physicochemical properties quickly and at low operational cost, something that is difficult to achieve using conventional analytical methods. This method will find utility in target screening of hazardous chemicals with a high risk in environmental waters, and for confirming the safety of water after environmental incidents.
建立了一种综合的水样中具有广泛物理化学性质（log Pow-2.2-8.53）的 311 种有机化合物的筛选方法，该方法结合固相萃取和液相色谱-高分辨飞行时间质谱法。通过对 128 种农药进行方法优化，发现 pH 7.0 时使用苯乙烯-二乙烯基苯聚合物和活性炭固相萃取小柱进行串联萃取是最佳的。所开发的筛选方法能够从加标试剂水中提取 190 种模型化合物，平均回收率为 80.8%，平均相对标准偏差（RSD）为 13.5%，在 0.20μg/L 时，回收率为 87.1%，RSD 为 10.8%。使用实际污水处理厂的出水进行加标回收率测试（0.20μg/L），190 种模型化合物的平均回收率和平均 RSD 分别为 77.4%和 13.1%。该方法应用于日本北九州市的 5 个污水处理厂的进水和出水，至少观察到 311 种分析物中的 29 种。结果表明，该方法能够快速、低成本地筛选出具有广泛物理化学性质的大量化学物质，这是常规分析方法难以实现的。该方法将在环境水中高风险有害化学物质的目标筛选以及环境事件后水的安全性确认方面具有应用价值。
