首页> 外文期刊>Journal of chromatography, B. Analytical technologies in the biomedical and life sciences >Multi-residue determination of 171 pesticides in cowpea using modified QuEChERS method with multi-walled carbon nanotubes as reversed-dispersive solid-phase extraction materials
【24h】

Multi-residue determination of 171 pesticides in cowpea using modified QuEChERS method with multi-walled carbon nanotubes as reversed-dispersive solid-phase extraction materials

机译:改进的QuEChERS方法,以多壁碳纳米管为反相分散固相萃取材料,对cow豆中的171种农药进行多残留测定

获取原文
获取原文并翻译 | 示例
       

摘要

A rapid and sensitive method for the determination of 171 pesticides in cowpea was developed using multi-walled carbon nanotubes (MWCNTs) as reversed-dispersive solid-phase (r-DSPE) extraction materials. The clean-up performance of MWCNTs was proved to be obviously superior to PSA and GCB. This method was validated on cowpea spiked at 0.01 and 0.1 mg kg(-1) with five replicates. The mean recoveries for 169 pesticides ranged from 74% to 129% with relative standard deviations (RSDs) (n =5) lower than 16.4%, except diflufenican and quizalofop-ethyl. Good linearity for all pesticides was obtained with the calibration curve coefficients (R-2) larger than 0.9970. The limit of detection (LODs) and limit of quantification (LOQs) for the 171 pesticides ranged from 0.001 to 0.003 mg kg(-1) and from 0.002 to 0.009 mg kg(-1), respectively. The method was demonstrated to be reliable and sensitive for the routine monitoring of the 171 pesticides in cowpea samples. (C) 2016 Elsevier B.V. All rights reserved.
机译:建立了一种以多壁碳纳米管(MWCNTs)为反相分散固相(r-DSPE)萃取材料的快速灵敏的测定cow豆中171种农药的方法。事实证明,MWCNT的净化性能明显优于PSA和GCB。该方法在掺加0.01和0.1 mg kg(-1)的cow豆上进行了五次重复验证。 169种农药的平均回收率在74%至129%之间,相对的标准偏差(RSD)(n = 5)低于16.4%,除二氟苯醚和喹喔啉乙酯外。所有农药的线性均良好,校正曲线系数(R-2)大于0.9970。 171种农药的检出限(LODs)和定量限(LOQs)分别为0.001至0.003 mg kg(-1)和0.002至0.0099 mg kg(-1)。实践证明,该方法对于常规监测cow豆样品中的171种农药是可靠且灵敏的。 (C)2016 Elsevier B.V.保留所有权利。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号