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首页> 外文期刊>Regulatory Toxicology and Pharmacology: RTP >Methodological approaches for studying pharmaceuticals in the environment by comparing predicted and measured concentrations in River Po, Italy.
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Methodological approaches for studying pharmaceuticals in the environment by comparing predicted and measured concentrations in River Po, Italy.

机译:通过比较意大利波河的预测浓度和实测浓度来研究环境中药物的方法学方法。

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摘要

A predictive approach seems useful to study human and veterinary pharmaceuticals in the environment and provide an idea of overall levels of contamination, so as to restrict monitoring to those molecules which are most likely to represent possible environmental contaminants. Predicted environmental concentrations (PECs) can be calculated by a mass balance approach, while a recent proposal from the European Agency for the Evaluation of Medicinal Products (EMEA) suggests an alternative method for calculating PEC for each pharmaceutical and then focusing further work on molecules with high PEC values. We used the results of monitoring campaigns on the River Po, in Northern Italy, to assess the accuracy of predictive models with measured environmental concentrations (MECs). The comparison indicated that in some cases a refined PEC value can provide a good approximation of the MEC. In other cases PECs substantially differed from the MECs, particularly when there were not enough data to estimate the environmental fate of the molecule. Predictive models might therefore be useful for studying pharmaceuticals in the environment, providing enough experimental data is available on the environmental fate of the molecules.
机译:一种预测性方法似乎对研究环境中的人类和兽药并提供总体污染水平的想法很有用,以便将监视范围限制在最有可能代表可能的环境污染物的那些分子上。可以通过质量平衡方法来计算预测的环境浓度(PEC),而欧洲药品评估机构(EMEA)的最新建议则提出了一种计算每种药物的PEC的替代方法,然后将重点放在分子高PEC值。我们使用了在意大利北部的Po河上进行的监测活动的结果,以评估具有测得的环境浓度(MEC)的预测模型的准确性。比较表明,在某些情况下,精确的PEC值可以提供MEC的良好近似值。在其他情况下,PEC与MEC完全不同,尤其是在没有足够的数据来估计分子的环境命运时。因此,只要有足够的关于分子环境命运的实验数据可用,预测模型可能对研究环境中的药物有用。

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