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Environmental forensics in groundwater coupling passive sampling and high resolution mass spectrometry for screening

机译:地下水环境取证耦合被动采样和高分辨率质谱法进行筛选

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One of the difficulties encountered when monitoring groundwater quality is low and fluctuating concentration levels and complex mixtures of micropollutants, including emerging substances or transformation products. Combining passive sampling techniques with analysis by high resolution mass spectrometry (HRMS) should improve environmental metrology. Passive samplers accumulate compounds during exposure, which improves the detection of organic compounds and integrates pollution fluctuations. The Polar Organic Chemical Integrative Sampler (POCIS) were used in this study to sequester polar to semi-polar compounds. The methodology described here improves our knowledge of environmental pollution by highlighting and identifying pertinent compounds to be monitored in groundwater. The advantage of combining these two approaches is demonstrated on two different sites impacted by agricultural and/or urban pollution sources where groundwater was sampled for several months. Grab and passive sampling were done and analyzed by liquid chromatography coupled to a hybrid quadrupole time-of-flight mass spectrometer (LC-QTOF). Various data processing approaches were used (target, suspect and non-target screening). Target screening was based on research from compounds listed in a homemade database and suspect screening used a database compiled using literature data. The non-target screening was done using statistical tools such as principal components analysis (PCA) with direct connections between original chromatograms and ion intensity. Trend plots were used to highlight relevant compounds for their identification. The advantage of using POCIS to improve screening of polar organic compounds was demonstrated. Compounds undetected in water samples were detected with these tools. The subsequent data processing identified sentinel molecules, molecular clusters as compounds never revealed in these sampling sites, and molecular fingerprints. Samples were compared and multidimensional visualization of chemical patterns such as molecular fingerprints and recurrent or specific markers of each site were given.
机译:监测地下水水质时遇到的困难之一是低水平,浓度水平的波动以及微污染物(包括新兴物质或转化产物)的复杂混合物的波动。将无源采样技术与高分辨率质谱(HRMS)分析相结合应可改善环境计量。无源采样器在暴露过程中会积累化合物,从而改善了对有机化合物的检测并整合了污染波动。这项研究中使用了极性有机化学综合进样器(POCIS)隔离极性至半极性化合物。此处介绍的方法通过突出显示和识别要在地下水中监测的相关化合物,提高了我们对环境污染的认识。在受农业和/或城市污染源影响的两个不同地点采样了几个月的地下水,这两种方法相结合的优势得到了证明。进行了抓取和被动采样,并通过液相色谱与混合四极杆飞行时间质谱仪(LC-QTOF)进行了分析。使用了各种数据处理方法(目标,可疑和非目标筛选)。目标筛选是基于对自家数据库中所列化合物的研究得出的结果,可疑筛选使用了使用文献数据汇编而成的数据库。非目标筛选使用统计工具(例如主成分分析(PCA))进行,原始色谱图和离子强度之间具有直接联系。趋势图用于突出显示相关化合物以进行识别。证明了使用POCIS改善极性有机化合物筛选的优势。使用这些工具可以检测出水样品中未检测到的化合物。随后的数据处理确定了前哨分子,在这些采样点从未发现的化合物分子簇以及分子指纹。比较样品并给出化学模式的多维可视化,例如分子指纹和每个部位的复发性或特异性标记。

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