首页> 外文期刊>Journal of chromatography, A: Including electrophoresis and other separation methods >A new gas chromatography/mass spectrometry method for the simultaneous analysis of target and non-target organic contaminants in waters
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A new gas chromatography/mass spectrometry method for the simultaneous analysis of target and non-target organic contaminants in waters

机译:一种同时分析水中目标和非目标有机污染物的新型气相色谱/质谱法

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In this study we developed a GC-MS method for the analysis of priority pollutants, personal care products (PCP_s) and other emerging contaminants in waters using large volume injection with backflushing. Analyses are performed in the slM/scan mode, so that in addition to the targeted organic contaminants, this method allows the simultaneous screening of non-target compounds. The scan data are analysed using Deconvolution Reporting Software (DRS) which screens the results for 934 organic contaminants. Deconvolution helps identify contaminants that are buried in the chromatogram by co-extracted materials and significantly reduces chromatographic resolution requirements, allowing shorter analysis times. All compounds have locked retention times and we can continually update and extend the mass spectral library including new compounds. Linearity and limits of detection in SIM and full-scan mode were studied. Method detection limits (MDL_s) in effluent wastewater ranged in most of the cases from 1 to 36 ng/L in SIM mode and from 4 to 66 ng/L in full-scan mode: while in river water from 0.4 to 14 and 2-29 ng/L in SIM and full-scan mode, respectively. We obtained a linearity of the calibration curves over two orders of magnitude. The method has been applied to the screening of a large number of organic contaminants - not only to a subset of targets - in urban wastewaters from different wastewater treatment plants and also in river waters. Most of the target compounds were detected at concentration levels ranging from 11 to 8697 ng/L and from 7 to 1861 ng/L in effluent wastewater and river waters, respectively. Additionally, a group of 12 new compounds were automatically identified using the AMD1S and N1ST libraries. Other compounds, such as the 4-amino musk xylene, a synthetic fragrance metabolite, which was not included in the databases, but has been manually searched in the full-scan chromatograms.
机译:在这项研究中,我们开发了一种GC-MS方法,该方法使用大体积进样和反吹来分析水中的优先污染物,个人护理产品(PCP_s)和其他新兴污染物。分析以slM / scan模式进行,因此除了目标有机污染物外,该方法还可以同时筛选非目标化合物。使用反卷积报告软件(DRS)对扫描数据进行分析,该软件会筛选出934种有机污染物的结果。去卷积有助于识别被共萃取材料掩埋在色谱图中的污染物,并显着降低色谱分离度要求,从而缩短分析时间。所有化合物的保留时间均已锁定,我们可以不断更新和扩展包括新化合物在内的质谱库。研究了SIM和全扫描模式下的线性和检测限。在大多数情况下,SIM模式下废水的方法检出限(MDL_s)为1至36 ng / L,全扫描模式下为4至66 ng / L;而河水中的方法检出限为0.4至14和2在SIM和全扫描模式下分别为29 ng / L。我们获得了两个数量级的校准曲线的线性。该方法已应用于筛查来自不同废水处理厂的城市废水以及河水中的大量有机污染物,不仅是目标污染物的一部分。在流出废水和河水中,大多数目标化合物的浓度水平分别为11至8697 ng / L和7至1861 ng / L。此外,使用AMD1S和N1ST库自动鉴定了一组12种新化合物。其他化合物,例如4-氨基麝香二甲苯,一种合成的芳香代谢产物,未包含在数据库中,但已在全扫描色谱图中进行了手动搜索。

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