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Prediction of environmental concentrations of glucocorticoids: The River Thames, UK, as an example

机译:糖皮质激素的环境浓度预测:以英国泰晤士河为例

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Synthetic glucocorticoids (GCs) are consumed in large amounts as anti-inflammatory and immunosuppres-sive drugs worldwide. Based on what has been learnt from studies of other human Pharmaceuticals, they are likely to be present in the aquatic environment. However, to date, information on the environmental concentrations of GCs is very limited. The situation is complicated by the fact that a considerable number of GCs are in everyday use in most developed countries. Hence, obtaining a full picture of GC concentrations in the aquatic environment using the traditional analytical chemistry approach would be time-consuming and expensive. Thus, we took a modelling approach to predict the total environmental concentration of all synthetic GCs (consisting of 28 individual GCs) in the River Thames, as a first step in risk assessment of these drugs. Using reliable data on consumption, the LF2000-WQX model predicts mean concentrations up to 30 ng/L of total GCs in surface water as a best case scenario when the lowest excretion and highest removal rates in sewage treatment works were used, whereas mean concentrations up to 850 ng/L were predicted when the highest excretion and lowest removal rates are considered. We also present the 10th and 90th percentile concentrations (which indicate the likely range of concentrations seen from high flow to low flow conditions in the river) of the highest and lowest consumed GCs, to show the spatial and temporal variations of the concentrations of individual GCs. These data probably provide reliable estimates of the likely range of concentrations of GCs in a typical river impacted by effluent from many sewage treatment plants. Results also identify the hot spots where field studies on fish could be focused. To determine if aquatic organisms face any threat from GCs, laboratory toxicity studies should be conducted using concentrations similar to those reported here.
机译:合成糖皮质激素(GCs)作为消炎药和免疫抑制剂在世界范围内大量消费。根据对其他人类药物研究的了解,它们很可能存在于水生环境中。但是,迄今为止,关于GC的环境浓度的信息非常有限。大多数发达国家每天都在使用大量的气相色谱,这一事实使情况变得复杂。因此,使用传统的分析化学方法获得水生环境中GC浓度的全貌将是耗时且昂贵的。因此,我们采用了一种建模方法来预测泰晤士河中所有合成GC(由28个单独的GC组成)的总环境浓度,作为对这些药物进行风险评估的第一步。使用可靠的消耗量数据,LF2000-WQX模型可以预测当在污水处理厂中使用最低排泄量和最高清除率时,地表水中总GC的平均浓度最高为30 ng / L,这是最佳情况,而平均浓度最高当考虑到最高的排泄物和最低的清除率时,预计到850 ng / L。我们还给出了消耗最高和最低的GC的第10和第90个百分位浓度(指示从河流高流量到低流量条件下可能出现的浓度范围),以显示各个GC浓度的时空变化。这些数据可能提供了对受许多污水处理厂废水影响的典型河流中GC浓度范围的可靠估计。研究结果还确定了可以对鱼类进行实地研究的热点。为了确定水生生物是否面临来自气相色谱的任何威胁,应使用与此处报告的浓度相似的浓度进行实验室毒性研究。

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