电极
电解质
电导率
制作
分析化学(期刊)
材料科学
电泳
离子电导率
电泳沉积
离子键合
光电子学
化学
纳米技术
色谱法
离子
医学
病理
物理化学
有机化学
替代医学
涂层
作者
Gerson F. Duarte‐Junior,José Alberto Fracassi da Silva,Kelliton José Mendonça Francisco,Claudimir Lúcio do Lago,Emanuel Carrilho,Wendell K. T. Coltro
标识
DOI:10.1002/elps.201500033
摘要
This paper describes the use of ionic solutions as sensing electrodes for capacitively coupled contactless conductivity detection on electrophoresis microchips. Initially, two channels were engraved in a PMMA holder by using a CO 2 laser system and sealed with a thin adhesive membrane. PDMS electrophoresis chips were fabricated by soft lithography and reversibly sealed against the polymer membrane. Different ionic solutions were investigated as metalless electrodes. The electrode channels were filled with KCl solutions prepared in conductivity values from approximately 10 to 40 S/m. The best analytical response was achieved using the KCl solution with 21.9 S/m conductivity (2 mol/L). Besides KCl, we also tested NaCl and LiCl solutions for actuating as detection electrodes. Taking into account the same electrolyte concentration (2 mol/L), the best response was recorded with KCl solution due to its higher ionic conductivity. The optimum operating frequency (400 kHz) and the best sensing electrode (2 mol/L KCl) were used to monitor electrophoretic separations of a mixture containing K + , Na + , and Li + . The use of liquid solutions as sensing electrodes for capacitively coupled contactless conductivity detection measurements has revealed great performance to monitor separations on chip‐based devices, avoiding complicated fabrication schemes to include metal deposition and encapsulation of electrodes. The LOD values were estimated to be 28, 40, and 58 μmol/L for K + , Na + , and Li + , respectively, what is comparable to that of conventional metal electrodes. When compared to the use metal electrodes, the proposed approach offers advantages regarding the easiness of fabrication, simplicity, and lower cost per device.
科研通智能强力驱动
Strongly Powered by AbleSci AI