Aquatic Ecology, Biology Department, Lund University, P.O. Box 117, 221 00 Lund, Sweden.
Aquatic Ecology, Biology Department, Lund University, P.O. Box 117, 221 00 Lund, Sweden.
Water Res. 2015 Apr 1;72:154-61. doi: 10.1016/j.watres.2014.08.040. Epub 2014 Sep 6.
Due to variation in pH, ionizable pharmaceuticals entering aquatic environments experience different degrees of ionization, which may affect toxicity. Using data from toxicity testing at only neutral pH may potentially under- or overestimate actual toxicity at pH ranges found in natural aquatic environments. Here we show relative pH-dependent acute toxicity to Daphnia magna for the pharmaceutical weak bases fluoxetine and sertraline, as well as the weak acids naproxen, diclofenac, ibuprofen and ketoprofen. A probabilistic modelling approach using the pH-dependent toxicity data for D. magna and an environmental pH distribution based on over 4000 European running waters from 21 countries predicted that environmental toxicity for the weak bases may be underestimated if pH 7 was assumed. The model predicted median underestimation by a factor of 3, with 90% of the model results ranging from 1 to 6. Consequently, due to the slightly basic nature of the European running waters, weak acid toxicity may be overestimated by a factor of 2. Predicted median toxicity was 0.5 of that assuming pH 7 with 90% of the results ranging from 0.03 to 5. Because aquatic pH exhibits large variation both within and between countries, we advise the use of site-specific risk assessments for ionizable pharmaceuticals in making informed water management decisions.
由于 pH 值的变化,进入水生环境的可电离药物会经历不同程度的电离,这可能会影响毒性。仅在中性 pH 值下进行毒性测试,可能会低估或高估自然水生环境中发现的 pH 值范围内的实际毒性。在这里,我们展示了弱碱性药物氟西汀和舍曲林以及弱酸性药物萘普生、双氯芬酸、布洛芬和酮洛芬对大型溞的相对 pH 依赖性急性毒性。使用基于 21 个国家的 4000 多个欧洲流水的 pH 值依赖性毒性数据和环境 pH 值分布的概率建模方法预测,如果假设 pH 值为 7,则弱碱性药物的环境毒性可能被低估。该模型预测中位数低估了 3 倍,90%的模型结果范围在 1 到 6 之间。因此,由于欧洲流水略带碱性,弱酸性毒性可能被高估了 2 倍。假设 pH 值为 7 时的预测中位数毒性为 0.5,90%的结果范围在 0.03 到 5 之间。由于水生 pH 值在国家内部和国家之间都存在很大的变化,我们建议在做出明智的水资源管理决策时,对可电离药物使用特定地点的风险评估。