Passive sampling with targeted and non-targeted analysis as an “Early Warning” of water-soluble contaminants in the Great Lakes

IF 2.4 3区 环境科学与生态学 Q3 ENVIRONMENTAL SCIENCES Journal of Great Lakes Research Pub Date : 2024-02-05 DOI:10.1016/j.jglr.2024.102297
Tamanna Sultana , Emmanuel Eysseric , Pedro A. Segura , Paul A. Helm , Sonya Kleywegt , Chris D. Metcalfe
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Abstract

The objective of this study was to integrate passive sampling with targeted analysis to quantify known contaminants of emerging concern (CECs) and, with non-targeted analysis. to identify previously unknown water-soluble compounds. Polar Organic Chemical Integrative Samplers (POCIS) were deployed in the treated effluent of a wastewater treatment plant serving the City of Hamilton, ON, Canada, as well as at three stations in Hamilton Harbour and at nearshore locations in Lake Ontario. Targeted analysis indicated that there was a gradient of pharmaceuticals, caffeine, and artificial sweeteners from highest levels in wastewater to lowest levels in the harbour furthest from the wastewater discharge. The estimated concentrations of current use pesticides were highest in the central part of the harbour. Pooled POCIS extracts were also analyzed using high-resolution quadrupole-time-of-flight mass spectrometry and the exact mass data generated were screened using a pattern recognition application. The greatest number of features were detected in positive ion mode from POCIS deployed in the central part of the harbour, and so exact mass data from this station were further evaluated using the Global Natural Products Social Molecular Networking data base. Novel CECs tentatively identified included pharmaceuticals from the angiotensin receptor blocker class. Follow-up targeted analysis confirmed that a tire wear compound, hexamethoxymethylmelamine (HMMM), the coal-tar derived compound, lepidine, the anticonvulsant, lamotrigine and a metabolite of a cough suppressant, dextrorphan, were present in POCIS. We propose that this approach be part of a Great Lakes Early Warning System to identify emerging threats from chemical contaminants.

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作为五大湖水溶性污染物 "预警 "的定向和非定向分析被动采样法
这项研究的目的是将被动采样与定向分析相结合,以量化已知的新关注污染物 (CEC),并通过非定向分析确定以前未知的水溶性化合物。极地有机化学综合采样器 (POCIS) 部署在加拿大安大略省汉密尔顿市污水处理厂处理过的污水中,以及汉密尔顿港的三个站点和安大略湖的近岸地点。有针对性的分析表明,在距离废水排放口最远的港口,药物、咖啡因和人造甜味剂的含量呈梯度分布,从废水中的最高含量到最低含量。目前使用的杀虫剂的估计浓度在海港中部最高。此外,还使用高分辨率四极杆飞行时间质谱分析了汇集的 POCIS 提取物,并使用模式识别应用程序对生成的精确质量数据进行了筛选。部署在海港中部的 POCIS 在正离子模式下检测到的特征数量最多,因此使用全球天然产品社会分子网络数据库对该站的精确质量数据进行了进一步评估。初步确定的新型 CEC 包括血管紧张素受体阻滞剂类药物。后续针对性分析证实,POCIS 中存在轮胎磨损化合物六甲氧基甲基苄胺 (HMMM)、煤焦油衍生化合物列匹定、抗惊厥药拉莫三嗪和止咳药右旋糖酐的代谢物。我们建议将这种方法作为大湖预警系统的一部分,以识别新出现的化学污染物威胁。
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来源期刊
Journal of Great Lakes Research
Journal of Great Lakes Research 生物-海洋与淡水生物学
CiteScore
5.10
自引率
13.60%
发文量
178
审稿时长
6 months
期刊介绍: Published six times per year, the Journal of Great Lakes Research is multidisciplinary in its coverage, publishing manuscripts on a wide range of theoretical and applied topics in the natural science fields of biology, chemistry, physics, geology, as well as social sciences of the large lakes of the world and their watersheds. Large lakes generally are considered as those lakes which have a mean surface area of >500 km2 (see Herdendorf, C.E. 1982. Large lakes of the world. J. Great Lakes Res. 8:379-412, for examples), although smaller lakes may be considered, especially if they are very deep. We also welcome contributions on saline lakes and research on estuarine waters where the results have application to large lakes.
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