用于检测羧酸的基于高效毛细管电泳的微流控芯片  

Microfluidic Chip Based on High Performance Capillary Electrophoresis for Detecting Carboxylic Acids

在线阅读下载全文

作  者:周博华 林琳 赖丽燕 李以贵 Zhou Bohua;Lin Lin;Lai Liyan;Li Yigui(School of Science,Shanghai Institute of Technology,Shanghai 201418,China)

机构地区:[1]上海应用技术大学理学院,上海201418

出  处:《微纳电子技术》2024年第1期95-101,共7页Micronanoelectronic Technology

基  金:国家自然科学基金资助项目(62104151)。

摘  要:设计了一种可以进行高效毛细管电泳分析的微流控芯片,微流控芯片具有一个十字架结构的沟道,沟道横截面的尺寸为100μm×50μm。利用5-氨基甲基荧光素作为荧光探针,使用乙腈溶液与磷酸盐缓冲液作为流动相进行高效液相色谱分析,等量洗脱确认了丙酸到十八烷酸(C3~C18)的衍生物色谱图,并通过高效毛细管电泳分析将丙酸(C3)、己酸(C6)、癸酸(C10)进行分离,成功分离C3和C10,C3和C10的分离度为2.2,分离效果良好。此外,针对高效毛细管电泳分析出现的不稳定电渗现象而导致实验数据不稳定的情况,加入阳离子聚合物六甲溴铵和阴离子聚合物硫酸葡聚糖钠盐形成连续的多个离子聚合物涂层,使得微流控芯片对羧酸检测的稳定性大大提高。A microfluidic chip was designed for high performance capillary electrophoresis analysis.The microfluidic chip has a cross shaped channel with a cross-sectional size of 100μm×50μm.High performance liquid chromatography was analyzed by using 5-aminomethylfluorescein as a fluorescence probe and acetonitrile solution and phosphate buffer as the mobile phase.The derivative chromatograms of propionic acid to octadecanoic acid(C3-C18)were confirmed by equal elution.The separation of propionic acid(C3),caproic acid(C6),and decanoic acid(C10)was carried out through high performance capillary electrophoresis analysis.C3 and C10 were successfully separated.A resolution of C3 and C10 is 2.2,and the separation effect is good.In addition,according to instability of experimental data caused by unstable electroosmotic phenomenon in high performance capillary electrophoresis analysis,continuous multiple ionic polymer coatings were formed by adding cationic polymer hexamethonium bromide and anioni polymer dextran sulfate sodium salt,greatly improving the detection stability of microfluidic chips for carboxylic acids.

关 键 词:微流控芯片 高效毛细管电泳 羧酸衍生物 高效液相色谱 分离度 连续多个离子聚合物涂层 

分 类 号:O35[理学—流体力学]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象