Department of Chemical Engineering, The University of Melbourne, Melbourne, Australia.
Wastewater Product, Sydney Water, 1 Smith Street, Parramatta, NSW, 2150, Australia.
Chemosphere. 2023 Jan;311(Pt 1):136997. doi: 10.1016/j.chemosphere.2022.136997. Epub 2022 Oct 26.
In this study, Chemcatcher (CC) and Polar Organic Chemical Integrative Samplers (POCIS) passive samplers were chosen to investigate trace organic chemical residues in urban streams of the megacity of Sydney, Australia. In situ calibration with these passive samplers investigated 1392 organic chemicals. Six sets of CC passive samplers fitted with SDB-XC or SDB-RPS disks and six POCIS containing Oasis HLB sorbent were deployed at three sites. Every week for six weeks across three deployments, composite water samples were retrieved from autosamplers, along with one set of CC/POCIS passive samplers. Samples were analysed by Automated Identification and Quantification System (AIQS) GC/MS or LC/QTOF-MS database methods with 254 chemicals detected. The most frequently detected compounds under GC/MS analysis were aliphatic, pesticides, phenols, PAHs, sterols and fatty acid methyl esters while from LC/QTOF-MS analysis these were pesticides, pharmaceuticals, and personal care products. Sampling rates (R) ranged between <0.001 - 0.132 L day (CC SDB-XC, 18 chemicals), <0.001 - 0.291 L day (CC SDB-RPS, 28 chemicals), and <0.001 - 0.576 L day (POCIS Oasis HLB, 30 chemicals). Assessment of deployment duration indicated that about half of the chemicals that were continuously detected across all deployment weeks had maximal simple linear regression R values at four weeks for CC SDB-RPS (seven of 13 chemicals) and at three weeks for POCIS Oasis HLB (seven of 14 chemicals). Where ranges of R recorded from the estuarine site were able to be compared to ranges of R from one or both freshwater sites, only tributyl phosphate had a higher range of R out of 21 possible chemical comparisons, and suggested salinity was an unlikely influence on R. Whereas relatively higher rainfall of the third round of deployment aligned with higher R across the estuarine and freshwater sites for CC SDB-RPS and POCIS for nearly all possible comparisons.
在本研究中，选择了 Chemcatcher（CC）和极性有机化学综合采样器（POCIS）被动采样器来调查澳大利亚大城市悉尼的城市溪流中的痕量有机化学残留物。通过这些被动采样器的原位校准，研究了 1392 种有机化学品。在三个地点部署了六组装有 SDB-XC 或 SDB-RPS 圆盘的 CC 被动采样器和六个装有 Oasis HLB 吸附剂的 POCIS。在三个部署中，每周六次，从自动采样器中取出复合水样，以及一组 CC/POCIS 被动采样器。样品通过自动识别和定量系统（AIQS）GC/MS 或 LC/QTOF-MS 数据库方法进行分析，检测到 254 种化学物质。在 GC/MS 分析中，最常检测到的化合物是脂肪族化合物、农药、酚类、多环芳烃、甾醇和脂肪酸甲酯，而在 LC/QTOF-MS 分析中，这些化合物是农药、药物和个人护理产品。采样速率（R）范围在<0.001-0.132 L/day（CC SDB-XC，18 种化学物质）、<0.001-0.291 L/day（CC SDB-RPS，28 种化学物质）和<0.001-0.576 L/day（POCIS Oasis HLB，30 种化学物质）之间。对部署时间的评估表明，在所有部署周中连续检测到的约一半化学物质在 CC SDB-RPS 的四周时具有最大的简单线性回归 R 值（13 种化学物质中的 7 种），而在 POCIS Oasis HLB 的三周时具有最大的 R 值（14 种化学物质中的 7 种）。在能够将河口站点记录的 R 范围与一个或两个淡水站点的 R 范围进行比较的情况下，只有磷酸三丁酯在 21 种可能的化学比较中具有更高的 R 范围，这表明盐度不太可能影响 R。而在第三个部署回合中，相对较高的降雨量与河口和淡水站点的 CC SDB-RPS 和 POCIS 的 R 都有较高的关联性，几乎所有可能的比较都是如此。
Zotero 插件