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大鳞沙蟹是否是药物化合物致死和亚致死毒性测试的有用候选生物?

Is Atyaephyra desmarestii a useful candidate for lethal and sub-lethal toxicity tests on pharmaceutical compounds?

机构信息

Instituto de Ciencias Marinas de Andalucía (ICMAN-CSIC), Campus Universitario Rio San Pedro, 11510 Puerto Real, Spain.

出版信息

J Hazard Mater. 2013 Dec 15;263 Pt 1:256-65. doi: 10.1016/j.jhazmat.2013.08.035. Epub 2013 Aug 29.

Abstract

Single and mixture toxicity tests on three pharmaceutical compounds, Diclofenac (DF), Ibuprofen (IB) and Carbamazepine (CBZ), were carried out with the freshwater shrimp Atyaephyra desmarestii. Lethal and sublethal responses were analyzed for single compounds. Lethal concentrations (LC50) obtained for each individual compound, after 96 h of exposure, were 6.3 mg L(-1) for DF, 13.3 mg L(-1) for IB and 94.3 mg L(-1) for CBZ. The selected sublethal endpoints of food ingestion, osmoregulatory capacity and respiration rates were not affected by the exposures to environmentally-relevant concentrations. Based on mortality data obtained, the predictive no effect concentration (PNEC) was calculated for each of the compounds, and compared with predicted environmental concentrations (PEC) reported in surface waters. The environmental risk of each compound was estimated as the ratio between PEC/PNEC, and indicated that IB could represent a medium risk in freshwater environments. Additionally, binary and ternary mixture toxicity assays of the selected compounds were carried out. The data obtained was applied to two predictive toxicity models: Concentration Addition (CA) and Independent Action (IA). Finally, risk assessment was estimated using risk quotients (RQ) for the compound mixtures based on EC50 and LC50 values.

摘要

采用淡水虾 Atyaephyra desmarestii 对三种药物化合物(双氯芬酸(DF)、布洛芬(IB)和卡马西平(CBZ))进行了单一和混合毒性测试。分析了单一化合物的致死和亚致死反应。在 96 小时的暴露后,每种单一化合物的致死浓度(LC50)分别为 6.3mg/L 用于 DF、13.3mg/L 用于 IB 和 94.3mg/L 用于 CBZ。在环境相关浓度下暴露时,未受影响的选择亚致死终点包括食物摄入、渗透压调节能力和呼吸率。基于获得的死亡率数据,为每种化合物计算了预测无影响浓度(PNEC),并将其与地表水中报告的预测环境浓度(PEC)进行了比较。每种化合物的环境风险估计为 PEC/PNEC 的比值,并表明 IB 在淡水环境中可能构成中等风险。此外,还进行了选定化合物的二元和三元混合物毒性测定。应用两种预测毒性模型(浓度加和(CA)和独立作用(IA))对获得的数据进行分析。最后,根据 EC50 和 LC50 值,基于化合物混合物的风险商数(RQ)对混合物的风险进行了评估。

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