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.     

碳黑改性TiO2薄膜光催化剂的结构性质

通过碳黑掺杂制备了改性的TiO₂薄膜光催化剂(CB-TiO₂),并采用液氮吸附、X射线衍射(XRD)和紫外-可见光漫反射光谱(DRS)对催化剂的比表面积、物相、晶粒度和最大激发波长等结构性质进行了表征.结果表明,CB-TiO₂的吸附性能大大改善,不同热处理温度下,BET比表面积增加50%～80%;同时碳黑掺杂能够减小催化剂的晶粒尺度,使相变温度降低.相应的光催化降解试验也表明,碳黑改性TiO₂的活性大大提高,其一级反应速率常数为普通TiO₂的1.5倍.     

碳黑改性TiO2薄膜光催化剂的结构性质

通过碳黑掺杂制备了改性的TiO2薄膜光催化剂(CB-TiO2),并采用液氮吸附、X射线衍射(XRD)和紫外-可见光漫反射光谱(DRS)对催化剂的比表面积、物相、晶粒度和最大激发波长等结构性质进行了表征.结果表明,CB-TiO2的吸附性能大大改善,不同热处理温度下,BET比表面积增加50%～80%;同时碳黑掺杂能够减小催化剂的晶粒尺度,使相变温度降低.相应的光催化降解试验也表明,碳黑改性TiO2的活性大大提高,其一级反应速率常数为普通TiO2的1.5倍.