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Characterization of pharmaceutically active compounds in Dongting Lake, China: Occurrence, chiral profiling and environmental risk

机译:中国洞庭湖地区药物活性化合物的表征:发生,手性谱和环境风险

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摘要

Twenty commonly used Pharmaceuticals including eight chiral drugs were investigated in Dongting Lake, China. The contamination level was relatively low on a global scale. Twelve Pharmaceuticals were identified. The most abundant compound was caffeine followed by diclofenac, DEET, mefenamic acid, fluoxetine, ibuprofen and car-bamazepine with mean concentrations from 2.0 to 80.8 ng L~(-1). Concentrations between East and West Dongting Lake showed spatial difference, with the West Dongting Lake less polluted. The relatively high ratio of caffeine versus carbamazepine (over 50) may indicate there was possible direct discharge of domestic wastewater into the lake. This is the first study presenting a survey allowing for comprehensive analysis of multiclass achiral and chiral Pharmaceuticals including beta-blockers, antidepressants and anti-inflammatory drugs in freshwater lake. The enantiomeric compositions presented racemic to weakly enantioselective, with the highest enantio-meric fraction (EF) of 0.63 for fluoxetine. Meanwhile, venlafaxine was identified and evaluated the environment risk in surface water in China for the first time. The results of risk assessment suggested that fluoxetine, venlafaxine and diclofenac acid might pose a significant risk to aquatic organisms in Dongting Lake. The resulting data will be useful to enrich the research of emerging pollutants in freshwater lake and stereochemistry for environment investigations.
机译:在中国洞庭湖调查了20种常用药品,包括8种手性药物。在全球范围内,污染水平相对较低。确定了十二种药品。最丰富的化合物是咖啡因,其次是双氯芬酸,DEET,芬那美酸,氟西汀,布洛芬和卡马西平,平均浓度为2.0至80.8 ng L〜(-1)。东西洞庭湖之间的浓度存在空间差异,西部洞庭湖的污染较少。咖啡因与卡马西平的比例较高(超过50)可能表明有可能将生活污水直接排入湖泊。这是第一项提出调查的研究,可以对淡水湖中的多种非手性和手性药物进行全面分析,包括β受体阻滞剂,抗抑郁药和消炎药。对映体组合物具有外消旋至弱对映体选择性,氟西汀的最高对映体分数(EF)为0.63。同时,文拉法辛首次被鉴定并评估了中国地表水的环境风险。风险评估结果表明,氟西汀,文拉法辛和双氯芬酸可能对洞庭湖水生生物构成重大风险。所得数据将有助于丰富淡水湖中新兴污染物的研究以及用于环境研究的立体化学。

著录项

  • 来源
    《The Science of the Total Environment》 |2016年第1期|268-275|共8页
  • 作者单位

    Beijing Key Laboratory of Emerging Organic Contaminants Control, State Key Joint Laboratory of Environmental Simulation and Pollution Control, Collaborative Innovation Center for Regional Environmental Quality, School of Environment, Tsinghua University, Beijing 100084, China;

    Beijing Key Laboratory of Emerging Organic Contaminants Control, State Key Joint Laboratory of Environmental Simulation and Pollution Control, Collaborative Innovation Center for Regional Environmental Quality, School of Environment, Tsinghua University, Beijing 100084, China;

    State Environmental Protection Scientific Observation and Research Station for Lake Dongtinghu (SEPSORSLD), State Environmental Protection Key Laboratory for Lake Pollution Control, State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China;

    Beijing Key Laboratory of Emerging Organic Contaminants Control, State Key Joint Laboratory of Environmental Simulation and Pollution Control, Collaborative Innovation Center for Regional Environmental Quality, School of Environment, Tsinghua University, Beijing 100084, China;

    Beijing Key Laboratory of Emerging Organic Contaminants Control, State Key Joint Laboratory of Environmental Simulation and Pollution Control, Collaborative Innovation Center for Regional Environmental Quality, School of Environment, Tsinghua University, Beijing 100084, China;

    Beijing Key Laboratory of Emerging Organic Contaminants Control, State Key Joint Laboratory of Environmental Simulation and Pollution Control, Collaborative Innovation Center for Regional Environmental Quality, School of Environment, Tsinghua University, Beijing 100084, China;

    Beijing Key Laboratory of Emerging Organic Contaminants Control, State Key Joint Laboratory of Environmental Simulation and Pollution Control, Collaborative Innovation Center for Regional Environmental Quality, School of Environment, Tsinghua University, Beijing 100084, China;

    Beijing Key Laboratory of Emerging Organic Contaminants Control, State Key Joint Laboratory of Environmental Simulation and Pollution Control, Collaborative Innovation Center for Regional Environmental Quality, School of Environment, Tsinghua University, Beijing 100084, China;

    Beijing Key Laboratory of Emerging Organic Contaminants Control, State Key Joint Laboratory of Environmental Simulation and Pollution Control, Collaborative Innovation Center for Regional Environmental Quality, School of Environment, Tsinghua University, Beijing 100084, China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    PPCPs; Freshwater lake; Enantiomer composition; Emerging contaminants; Risk assessment;

    机译:PPCP;淡水湖;对映体组成;新兴污染物;风险评估;

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