Application of automated mass spectrometry deconvolution and identification software for pesticide analysis in surface waters.
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.
Furtula
Vesna
V
Pacific Environmental Science Centre (PESC), Science and Technology Branch, Environment Canada, North Vancouver, British Columbia, Canada. vesna.furtula@ec.gc.ca
Derksen
George
G
Colodey
Alan
A
D001331:Automation; D005618:Fresh Water / Q000737:chemistry*; D008401:Gas Chromatography-Mass Spectrometry / Q000592:standards*; D010573:Pesticide Residues / Q000032:analysis*; D012680:Sensitivity and Specificity; D012984:Software; D014874:Water Pollutants, Chemical / Q000032:analysis*
D010573:Pesticide Residues; D014874:Water Pollutants, Chemical