色谱Issue(10)：1066-1078,13.DOI:10.3724/SP.J.1123.2014.07029
毛细管电泳分析中的富集技术及其应用
Concentration techniques in capillary electrophoresis analysis and their applications
摘要
Abstract
Capillary electrophoresis( CE),as a modern analytical technique,has been suc-cessfully applied in the analysis of metal ions,organics,proteins,nucleic acids and cells,due to its short analysis time,high separation efficiency,low sample consumption and low cost. Since most commercial CE instruments are equipped with ultraviolet detectors( UV),the appli-cation of CE-UV with low sensitivity owing to limited optical pathway of on-capillary photome-try and the small sample injection volume,is strictly limited in real sample analysis. On-column preconcentration technique is an efficient approach to greatly improve the sensitivity of CE-UV , which can be achieved by merely adjusting the parameters,without any modification of the instrument. At present,stacking,dynamic pH junction,sweeping and transient isotachophore-sis are the commonly used on-column preconcentration techniques in CE analysis,and have been extensively utilized in food science,environmental science and biomedicine fields. On the other hand,for real sample analysis,proper sample pretreatment is often necessary prior to in-strumental analysis,aiming to remove sample matrix and enrich target analytes simultaneously. With the development tendency of economy,miniaturization and automation in modern analyti-cal methods,green and miniaturized sample pretreatment techniques such as solid phase micro-extraction( SPME)and liquid phase microextraction( LPME)have been developed rapidly in recent decades. The combination of miniaturized sample pretreatment techniques and CE on-column preconcentration techniques can provide a promising method for the determination of trace analytes in complicated real samples.关键词
毛细管电泳/在柱富集技术/微萃取技术/应用/综述Key words
capillary electrophoresis ( CE )/on-column preconcentration/microextraction/applications/review分类
化学化工引用本文复制引用
黄林芳,何蔓,陈贝贝,胡斌..毛细管电泳分析中的富集技术及其应用[J].色谱,2014,(10):1066-1078,13.基金项目
国家自然科学基金项目（21375097）． （）
