Furtula Vesna, Derksen George, Colodey Alan
Pacific Environmental Science Centre (PESC), Science and Technology Branch, Environment Canada, North Vancouver, British Columbia, Canada.
J Environ Sci Health B. 2006;41(8):1259-71. doi: 10.1080/03601230600962211.
A new approach to surface water analysis has been investigated in order to enhance the detection of different organic contaminants in Nathan Creek, British Columbia. Water samples from Nathan Creek were prepared by liquid/liquid extraction using dichloromethane (DCM) as an extraction solvent and analyzed by gas chromatography mass spectrometry method in scan mode (GC-MS scan). To increase sensitivity for pesticides detection, acquired scan data were further analyzed by Automated Mass Spectrometry Deconvolution and Identification Software (AMDIS) incorporated into the Agilent Deconvolution Reporting Software (DRS), which also includes mass spectral libraries for 567 pesticides. Extracts were reanalyzed by gas chromatography mass spectrometry single ion monitoring (GC-MS-SIM) to confirm and quantitate detected pesticides. Pesticides: atrazine, dimethoate, diazinone, metalaxyl, myclobutanil, napropamide, oxadiazon, propazine and simazine were detected at three sampling sites on the mainstream of the Nathan Creek. Results of the study are further discussed in terms of detectivity and identification level for each pesticide found. The proposed approach of monitoring pesticides in surface waters enables their detection and identification at trace levels.
为了加强对不列颠哥伦比亚省内森溪中不同有机污染物的检测，研究了一种地表水分析的新方法。以内森溪的水样为研究对象，以二氯甲烷（DCM）作为萃取溶剂，通过液/液萃取法进行样品制备，并采用气相色谱-质谱扫描模式（GC-MS扫描）进行分析。为提高农药检测的灵敏度，将采集的扫描数据进一步用安捷伦反褶积报告软件（DRS）中的自动质谱解卷积和鉴定软件（AMDIS）进行分析，该软件还包含567种农药的质谱图库。提取物再通过气相色谱-质谱单离子监测（GC-MS-SIM）进行重新分析，以确认并定量检测到的农药。在内森溪主流的三个采样点检测到了以下农药：莠去津、乐果、二嗪农、甲霜灵、腈菌唑、敌草胺、恶草酮、丙草津和西玛津。根据每种农药的检测限和鉴定水平，对研究结果进行了进一步讨论。所提出的地表水农药监测方法能够在痕量水平上对其进行检测和鉴定。
