Environment Department, University of York , Heslington, York YO10 5NG, U.K.
Environ Sci Technol. 2017 Jun 20;51(12):6965-6971. doi: 10.1021/acs.est.7b01265. Epub 2017 Jun 8.
Here, we present and evaluate a combined experimental and modeling approach for characterizing the uptake of ionizable chemicals from water and sediments into aquatic organisms under different pH conditions. We illustrate and evaluate the approach for two pharmaceuticals (diclofenac and fluoxetine) and one personal care product ingredient (triclosan) for the oligochaete Lumbriculus variegatus. Initially, experimental data on the uptake of the three chemicals at two pH values were fitted using a toxicokinetic model to derive uptake and depuration constants for the neutral and ionized species of each molecule. The derived constants were then used to predict uptake from water and sediment for other pH conditions. Evaluation of predictions against corresponding experimental data showed good predictions of uptake for all test chemicals from water for different pH conditions and reasonable predictions of uptake of fluoxetine and diclofenac from a sediment. Predictions demonstrated that the level of uptake of the study chemicals, across pH ranges in European streams, could differ by up to a factor of 3035. Overall, the approach could be extremely useful for assessing internal exposure of aquatic organisms across landscapes with differing pH. This could help support better characterization of the risks of ionizable chemicals in the aquatic environment.
在这里,我们提出并评估了一种组合的实验和建模方法,用于描述在不同 pH 条件下,可离解化学物质从水和沉积物中被水生生物吸收的情况。我们以寡毛类环节动物(斑驳裸腹溞)为例,说明了并评估了该方法在两种药物(双氯芬酸和氟西汀)和一种个人护理产品成分(三氯生)中的应用。最初,我们使用毒代动力学模型拟合了这三种化学物质在两种 pH 值下的吸收实验数据,以得出每种分子的中性和离子化物种的吸收和消除常数。然后,我们使用这些常数来预测其他 pH 条件下从水和沉积物中的吸收情况。将预测值与相应的实验数据进行评估表明,对于所有测试化学品,该方法在不同 pH 条件下从水中的吸收预测良好,并且对于从沉积物中吸收的氟西汀和双氯芬酸的预测也较为合理。预测结果表明,在欧洲溪流的 pH 范围内,研究化学物质的吸收水平可能相差高达 30 到 35 倍。总体而言,该方法对于评估具有不同 pH 值的景观中水生生物的内部暴露情况非常有用。这有助于更好地描述在水生环境中可离解化学物质的风险。