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基于电化学预处理石墨和 nafion 复合修饰丝网印刷碳电极的高选择性多巴胺电化学传感器。

Highly selective dopamine electrochemical sensor based on electrochemically pretreated graphite and nafion composite modified screen printed carbon electrode.

机构信息

Electroanalysis and Bioelectrochemistry Lab, Department of Chemical Engineering and Biotechnology, National Taipei University of Technology, No. 1, Section 3, Chung-Hsiao East Road, Taipei 106, Taiwan, ROC.

出版信息

J Colloid Interface Sci. 2013 Dec 1;411:182-6. doi: 10.1016/j.jcis.2013.08.029. Epub 2013 Aug 28.

DOI:10.1016/j.jcis.2013.08.029
PMID:24064005
Abstract

Herein, we report a highly selective dopamine electrochemical sensor based on electrochemically pretreated graphite/nafion composite modified screen printed carbon (SPC) electrode. Electrochemically activated graphite/nafion composite was prepared by using a simple electrochemical method. Scanning electron microscope (SEM) used to characterize the surface morphology of the fabricated composite electrode. The SEM result clearly indicates that the graphitic basal planes were totally disturbed and leads to the formation of graphite nanosheets. The composite modified electrode showed an enhanced electrocatalytic activity toward the oxidation of DA when compared with either electrochemical pretreated graphite or nafion SPC electrodes. The fabricated composite electrode exhibits a good electrocatalytic oxidation toward DA in the linear response range from 0.5 to 70 μM with the detection limit of 0.023 μM. The proposed sensor also exhibits very good selectivity and stability, with the appreciable sensitivity. In addition, the proposed sensor showed satisfactory recovery results toward the commercial pharmaceutical DA samples.

摘要

本文报道了一种基于电化学预处理石墨/纳滤复合修饰丝网印刷碳电极的高选择性多巴胺电化学传感器。电化学激活的石墨/纳滤复合采用简单的电化学方法制备。扫描电子显微镜(SEM)用于表征制备的复合电极的表面形态。SEM 结果清楚地表明,石墨基面完全受到干扰,导致石墨纳米片的形成。与电化学预处理石墨或纳滤 SPC 电极相比,复合修饰电极对 DA 的氧化表现出增强的电催化活性。与电化学预处理石墨或纳滤 SPC 电极相比,所制备的复合电极对 DA 在 0.5 至 70 μM 的线性响应范围内表现出良好的电催化氧化作用,检测限为 0.023 μM。该传感器还表现出非常好的选择性和稳定性,具有可观的灵敏度。此外,该传感器对商业药物 DA 样品的回收率也令人满意。

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