期刊文献+

电膜微萃取在样品前处理中的研究进展 被引量:1

Research progress of electromembrane microextraction in the pretreatment of samples
原文传递
导出
摘要 随着待测样品种类的增多,基质越来越复杂,而样品前处理在整个样品分析过程中又是不可缺少非常重要的环节。传统方法如液液萃取、固相萃取,由于萃取时间长,有机溶剂用量大,实验设备昂贵等不足,在样品分析领域具有一定的局限性。近年来,一系列的前处理方法不断地被开发,成为样品分析过程的新选择。其中,电膜微萃取方法由于具有萃取时间短,有机溶剂用量少,高富集纯化等优势,应用日益广泛;它是在液相微萃取的基础上发展起来的,主要以电场力为驱动力,带电离子在电场力的作用下穿过支持液膜发生快速的定向移动,萃取时间大大的缩短。本文主要介绍了近几年电膜微萃取的发展模式、应用范围,且对其优缺点做了详细的概述。 With the increasing number of samples to be detected and the matrix becoming more and more complicated, the sample pretreatment plays an increasing inportant role in the whole sample analysis. Traditional methods such as liquid-liquid extraction and solid-phase extraction have some limitations in the field of sample analysis due to long extraction time, large amount of solvent and the expensive experimental equipment and so on. In recent years, a series of pretreatment methods has been developed and becomes a new choice for sample analysis. Among them, the applications of electromembrane microextraction method are widely used with the advantages of short extraction time, little amount of organic solvent and high rate of enrichment and purification, drive the developed on the basis of liquid microextraction. It mainly applies the electric field force as the driving force to drive the charged ions through the support liquid membrane to achieve rapid directional movement under the action of the electric field force, and it greatly shortencs the extraction time. This paper mainly introduces the development pattern and application range of electromembrane microextraction in recent years, and gives a detailed overview of its advantages and disadvantages.
作者 魏欣 李青莲
出处 《药物分析杂志》 CAS CSCD 北大核心 2017年第12期2133-2138,共6页 Chinese Journal of Pharmaceutical Analysis
关键词 样品前处理 电膜微萃取 样品富集 纯化技术 电场力 sample pretreatment electromembrane microextraction sample enrichment purification technology electric field force
  • 相关文献

同被引文献3

引证文献1

二级引证文献2

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部