Hi'/> Solid phase microextraction and gas chromatography coupled to magnetic sector high resolution mass spectrometry for the ultra-trace determination of contaminants in surface water
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Solid phase microextraction and gas chromatography coupled to magnetic sector high resolution mass spectrometry for the ultra-trace determination of contaminants in surface water

机译:固相微萃取和气相色谱耦合到磁性扇区高分辨率质谱,用于超痕量的地表水中污染物的测定

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摘要

Highlights?A novel automated method for the determination of 53 organic pollutants was developed.?Compounds belonging to pesticides, PCBs, PAHs and BDEs were simultaneously analyzed.?The combination of on-line SPME with highly sensitive HRMS has been proposed.?The developed method resulted robust, reliable and highly sensitive and selective.?The target compounds were detected in surface water samples.AbstractWith the aim of monitoring water quality according to the regulations established by the European Union it would be necessary to implement analytical methodologies capable of simultaneously determining a broad range of organic pollutants at ultra-trace levels, allowing for increased sample throughput. In addition, the high number of samples to be analyzed requires a particular focus on setting up fully automated analytical methodologies. In view of that, this study is aimed at the development of a complete automated procedure for the ultra-trace determination of certain pesticides, polycyclic aromatic hydrocarbons (PAHs), brominated diphenyl ethers (BDEs) and polychlorinated biphenyls (PCBs) in surface waters. The proposed method is based on an on-line combination of solid phase microextraction (SPME) and gas chromatography coupled to double-focusing magnetic sector high resolution mass spectrometry (GC–HRMS). SPME as well as GC–HRMS conditions were optimized to achieve maximum extraction efficiency and sensitivity, which was reinforced by using multiple ion detection (MID) as acquisition mode. Using only 19mL of water and with minimum sample manipulation, the method allowed for the determination of 53 compounds exhibiting good linearity (R2?1, lower than the Environmental Quality Standards (EQS) fixed by Directive 2013/39/EC. Finally, the method was successfully applied to determine target contaminants in Almería surface water compartments, detecting dioxin-like PCBs, BDEs and some pesticides.]]>
机译:<![CDATA [ 亮点 为53种的有机污染物的判断的新型自动方法被开发 < CE:列表项ID = “lsti0010”> 化合物属于农药,多氯联苯,多环芳烃和溴二苯醚为同时。分析 <?CE:对ID = “par0015” 视图= “所有”>上线SPME与高度敏感的HRMS的组合已经提出了 该发达米ethod导致鲁棒,可靠和高灵敏度和选择性 <? CE:对ID = “par0025” 视图= “所有”>进行表面水样品中检测到目标化合物 抽象 利用根据由欧洲联盟制定的规则监测水质的目的将是需要实现能够在超痕量水平同时确定一个宽范围的有机污染物,从而允许增加的样品通量分析方法。此外,待分析的高数量的样本需要特定焦点上设置完全自动化的分析方法。鉴于此,本研究的目的是一个完全自动化过程的发展,为某些杀虫剂,多环芳香烃(PAHs)的超痕量判定,溴化二苯醚(二苯醚)和地表水多氯联苯(PCBs)。所提出的方法是基于固相微萃取(SPME)和气相色谱耦合到双聚焦扇形磁场高分辨率质谱(GC-HRMS)的上线组合。 SPME以及GC-HRMS条件进行了优化,以实现最大提取效率和灵敏度,这是通过使用多个离子检测(MID),其获取模式加强。使用的水,并用最小样品操作只有19毫升,允许的53个化合物显示出良好的线性的测定方法(R 2 1 ,不是由指令39分之2013固定的环境质量标准(EQS)降低/ EC。最后,该方法被成功地应用于确定在Almería表面水室目标污染物,检测二恶英类多氯联苯,二苯醚和一些杀虫剂 ]]>

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  • 作者单位

    Analytical Chemistry of Contaminants Research Group Department of Chemistry and Physics Andalusian Center for the Assessment and Monitoring of Global Change (CAESCG) University of Almería Agrifood Campus of International Excellence;

    Analytical Chemistry of Contaminants Research Group Department of Chemistry and Physics Andalusian Center for the Assessment and Monitoring of Global Change (CAESCG) University of Almería Agrifood Campus of International Excellence;

    Analytical Chemistry of Contaminants Research Group Department of Chemistry and Physics Andalusian Center for the Assessment and Monitoring of Global Change (CAESCG) University of Almería Agrifood Campus of International Excellence;

    Analytical Chemistry of Contaminants Research Group Department of Chemistry and Physics Andalusian Center for the Assessment and Monitoring of Global Change (CAESCG) University of Almería Agrifood Campus of International Excellence;

    Analytical Chemistry of Contaminants Research Group Department of Chemistry and Physics Andalusian Center for the Assessment and Monitoring of Global Change (CAESCG) University of Almería Agrifood Campus of International Excellence;

    Analytical Chemistry of Contaminants Research Group Department of Chemistry and Physics Andalusian Center for the Assessment and Monitoring of Global Change (CAESCG) University of Almería Agrifood Campus of International Excellence;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 分析化学;
  • 关键词

    SPME; Magnetic sector; Organic pollutants; Automated method;

    机译:SPME;磁性部门;有机污染物;自动化方法;

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