首页> 外文会议>International Conference on Environmental Science and Technology >APPLICATION OF SUSPECT SCREENING APPROACH FOR DETECTION DRUG GLUCURONIDES IN WASTEWATER TREATMENT
【24h】

APPLICATION OF SUSPECT SCREENING APPROACH FOR DETECTION DRUG GLUCURONIDES IN WASTEWATER TREATMENT

机译:可疑筛选方法在废水处理中检测药物葡糖醛糖苷的应用

获取原文

摘要

Analysis of polar organic contaminants in wastewaters (WW) usually relies on a target approach which involves commonly the use of reference standards to quantify a set of analytes using low-resolution mass spectrometry (MS). In the case of polar contaminants, this task has been carried out mainly with liquid chromatography instruments coupled to mass spectrometry (LC-MS) generally triple quadrupole instruments, which detect only a limited number of analytes without the possibility of a retrospective analysis of data. In contrast to this classical target analysis, the suspect screening has very good prospects as it involves a more comprehensive overview of the contamination of urban wastewaters and of any other environmental sample of great complexity. The recent introduction of very sensitive high-resolution MS platforms and the development of specific software essential for efficient and automated processing of MS data, has been laid the groundwork to a successful non-targeted analysis. Not only can such data be examined for the presence of any known analyte (using elemental composition, isotope pattern, adducts and fragmentation information as well as chromatographic retention behavior as criteria for compound identification) but reported or predicted metabolites can be included in the databases and will be search in any kind of sample.
机译:在废水(WW)极性有机污染物的分析通常依赖于其中通常涉及使用参考标准来量化一组使用低分辨质谱(MS)分析物的靶的方法。在极性污染物的情况下,该任务已经进行了主要是与耦合至质谱(LC-MS)通常三重四极杆仪器液相色谱仪器,其中仅检测分析物的数量有限,而没有数据的回顾性分析的可能性。与此相反,传统的指标分析,犯罪嫌疑人筛选具有非常好的前景,因为它涉及城市废水和极其复杂的任何其他环境样品的污染更全面的概述。最近推出的非常敏感的高分辨质谱平台和特定软件所必需的为MS数据的高效和自动化加工的发展,已经奠定基础,以一个成功的非针对性的分析。不仅可以这样的数据(使用元素组成,同位素模式,加合物和碎片信息以及作为用于化合物鉴定标准色谱保留行为)来检查任何已知的分析物的存在,但报道的或预测的代谢物可被包含在数据库和将在任何类型的样品的搜索。

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