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选定的药物对水生大型植物浮萍的单一和混合毒性。

Single and mixture toxicity of selected pharmaceuticals to the aquatic macrophyte Lemna minor.

机构信息

Centro de Investigación en Contaminación Ambiental, Universidad de Costa Rica, 2060, San José, Costa Rica.

University of Copenhagen, Department of Plant and Environmental Science, Thorvaldsensvej 40, 1871, Frederiksberg, Denmark.

出版信息

Ecotoxicology. 2022 Jul;31(5):714-724. doi: 10.1007/s10646-022-02537-3. Epub 2022 Mar 28.

DOI:10.1007/s10646-022-02537-3
PMID:35348978
Abstract

Plants represent uncommon targets to evaluate pharmaceuticals toxicity. In this work, Lemna minor was employed as a plant model to determine the toxicity of selected pharmaceuticals, and to assay if such toxicity could be predicted by QSAR models based on green algae. Among eight compounds, measurable toxicity was determined for ketoprofen (EC = 11.8 ± 1.9 mg/L), fluoxetine (EC = 27.0 ± 8.7 mg/L) and clindamycin 2-phosphate (EC = 57.7 ± 1.7 mg/L). Even though a correlation of r = 0.87 was observed between experimental toxicity towards algae and L. minor, QSAR estimations based on algae data poorly predicted the toxicity of pharmaceuticals on the plant. More experimental data for L. minor are necessary to determine the applicability of these predictions; nonetheless, these results remark the importance of measuring experimental ecotoxicological parameters for individual taxa. The toxicity of pharmaceutical binary mixtures (ketoprofen, fluoxetine and clindamycin) revealed in some cases deviations from the concentration addition model; nonetheless these deviations were small, thus the interactions are unlikely to be of severe biological significance. Moreover, the EC concentrations determined for these pharmaceuticals are significantly higher than those detected in the environment, suggesting that acute effects on L. minor would not take place at ecosystem level.

摘要

植物是评估药物毒性的不常见目标。在这项工作中,我们选择浮萍作为植物模型来确定选定药物的毒性,并评估这种毒性是否可以通过基于绿藻的 QSAR 模型来预测。在这 8 种化合物中,我们测定了酮洛芬(EC=11.8±1.9mg/L)、氟西汀(EC=27.0±8.7mg/L)和克林霉素二磷酸(EC=57.7±1.7mg/L)具有可测量的毒性。尽管我们观察到藻类实验毒性与浮萍之间存在 r=0.87 的相关性,但基于藻类数据的 QSAR 估计并不能很好地预测药物对植物的毒性。需要更多关于浮萍的实验数据来确定这些预测的适用性;尽管如此,这些结果表明测量个别分类群的实验生态毒理学参数的重要性。在某些情况下,药物二元混合物(酮洛芬、氟西汀和克林霉素)的毒性偏离了浓度加和模型;然而,这些偏差很小,因此相互作用不太可能具有严重的生物学意义。此外,我们测定的这些药物的 EC 浓度明显高于环境中检测到的浓度,这表明在生态系统水平上,这些药物不会对浮萍产生急性影响。

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