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利用半定量疑似非靶向筛选分析揭示地表水中痕量污染物的发生情况。

Unravelling the occurrence of trace contaminants in surface waters using semi-quantitative suspected non-target screening analyses.

机构信息

Environmental Metabolomics Lab, Department of Environmental Science, Aarhus University, Frederiksborgvej 399, 4000, Roskilde, Denmark.

Quantem Analytics OÜ, Narva mnt 149-8, Tartu, 51008, Estonia.

出版信息

Environ Pollut. 2022 Dec 15;315:120346. doi: 10.1016/j.envpol.2022.120346. Epub 2022 Oct 3.

Abstract

Several classes of anthropogenic chemicals such as pesticides and pharmaceuticals are frequently used in human-related life activities and are discharged into the aquatic environment. These compounds can exert an unknown effect on aquatic life and humans if the water is used for human consumption. Thus, unravelling their occurrence in the aquatic system is crucial for the well-being of life and monitoring purposes. To this end, we used nanoflow-liquid and ion-exchange chromatography hyphenated with orbitrap high-resolution tandem mass spectrometry to detect several thousands of features (chemical entities) in surface water. Later, the features were narrowed down to a few focused lists using a stepwise filtering strategy, for which the structural elucidation was made. Accordingly, the chemical structure was confirmed for 83 compounds from different application areas, mainly being pharmaceuticals, pesticides, and other multiple application industrial compounds and xenobiotic degradation products. The compounds with the highest concentration were lamotrigine (27.6 μg/L), valsartan (14.4 μg/L), and ibuprofen (12.7 μg/L). Some compounds such as prosulfocarb, fluopyram, and tris(3-chloropropyl) phosphate were found to be the most abundant and widespread contaminants. Of the 32 sampling sites, nearly half of the sites (47%) contained more than 30 different compounds. Two sampling sites were far more contaminated than other sites based on the estimated concentration and the number of identified contaminants they contained. Our triplicate analysis revealed a low relative standard deviation between replicates, advocating for the added value in analysing more sampling sites instead of sample repetition. Overall, our study elucidated the occurrence of organic contaminants from a variety of sources in the aquatic environment. Furthermore, our findings highlighted the role of suspected non-target screening in exposing a snapshot of the chemical composition of surface water and the localized possible contamination sources.

摘要

几类人为化学物质,如农药和药品,经常在与人类相关的生活活动中使用,并排放到水环境中。如果这些水被用于人类消费,这些化合物可能会对水生生物和人类产生未知的影响。因此,揭示它们在水生系统中的存在对于生命的福祉和监测目的至关重要。为此,我们使用纳流液相和离子交换色谱与轨道阱高分辨率串联质谱联用,在地表水中检测到数千个特征(化学实体)。后来,我们使用逐步过滤策略将特征缩小到几个聚焦列表,对其进行结构解析。因此,从不同应用领域确认了 83 种化合物的化学结构,主要是药品、农药和其他多种应用工业化合物和外源性降解产物。浓度最高的化合物是拉莫三嗪(27.6μg/L)、缬沙坦(14.4μg/L)和布洛芬(12.7μg/L)。一些化合物,如prosulfocarb、fluopyram 和 tris(3-chloropropyl) phosphate,被发现是最丰富和广泛存在的污染物。在 32 个采样点中,近一半(47%)的采样点含有 30 多种不同的化合物。根据估计的浓度和所含鉴定污染物的数量,有两个采样点比其他采样点受到的污染更为严重。我们的三倍分析显示,重复之间的相对标准偏差较低,这表明分析更多的采样点而不是重复采样更有价值。总的来说,我们的研究阐明了来自各种来源的有机污染物在水环境中的存在。此外,我们的研究结果强调了疑似非靶向筛选在揭示地表水化学成分和局部可能污染来源方面的作用。

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