Domínguez I, Arrebola F J, Romero-González R, Nieto-García A, Martínez Vidal J L, Garrido Frenich A
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, ceiA3, E-04120 Almería, Spain.
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, ceiA3, E-04120 Almería, Spain.
J Chromatogr A. 2017 Oct 6;1518:15-24. doi: 10.1016/j.chroma.2017.08.061. Epub 2017 Aug 24.
With 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 (R>0.99), recoveries between 84 and 118% and relative standard deviation (RSD) values <20% for intra-day and inter-day precision. In addition, the method provides quantification limits (LOQs) between 0.1-50ngL, 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.
为了按照欧盟制定的法规监测水质,有必要采用能够同时测定超痕量水平下多种有机污染物的分析方法,以提高样品通量。此外,需要分析的样品数量众多,这就要求特别关注建立全自动分析方法。鉴于此,本研究旨在开发一种完整的自动化程序,用于超痕量测定地表水中的某些农药、多环芳烃(PAHs)、溴代二苯醚(BDEs)和多氯联苯(PCBs)。所提出的方法基于固相微萃取(SPME)与气相色谱联用双聚焦磁扇形高分辨率质谱(GC-HRMS)的在线结合。对SPME以及GC-HRMS条件进行了优化,以实现最大萃取效率和灵敏度,并通过使用多离子检测(MID)作为采集模式加以强化。该方法仅使用19mL水且样品处理最少,能够测定53种化合物,这些化合物具有良好的线性(R>0.99),日内和日间精密度的回收率在84%至118%之间,相对标准偏差(RSD)值<20%。此外,该方法的定量限(LOQs)在0.1 - 50ng/L之间,低于2013/39/EC指令规定的环境质量标准(EQS)。最后,该方法成功应用于测定阿尔梅里亚地表水区域中的目标污染物,检测到了二噁英类多氯联苯、溴代二苯醚和一些农药。