4.6 Article

A promising sensing platform toward dopamine using MnO2 nanowires/electro-reduced graphene oxide composites

期刊

ELECTROCHIMICA ACTA
卷 296, 期 -, 页码 683-692

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.electacta.2018.11.096

关键词

MnO2 nanowires; Reduced graphene oxide; Modified electrode; Dopamine sensor; Electrocatalytic oxidation

资金

  1. National Natural Science Foundation of China [61703152]
  2. Natural Science Foundation of Hunan Province [2016JJ4010, 2018JJ3134]
  3. Hengyang Normal University Provincial Platform Open Fund Project [GD16K02]
  4. Fundamental Research Funds for the Central Universities of Central South University [2015zzts018]
  5. Project of Science and Technology Plan in Zhuzhou [201707201806]
  6. Opening Project of Key Discipline of Materials Science in Guangdong [CNXY2017001, CNXY2017002, CNXY2017003]

向作者/读者索取更多资源

A promising sensing platform for the ultrasensitive detection of dopamine (DA) has been constructed using MnO2 nanowires-electrochemically reduced graphene oxide modified glassy carbon electrode (MnO2 NWs-ErGO/GCE). The proposed MnO2 NWs-ErGO/GCEs had the large electrochemical active area and relative low charge transfer resistant (R-ct). As a result, the response peak current of the MnO2 NWs-ErGO is about 13 times higher than that of the bare GCE, demonstrating the remarkable electrocatalytic activity toward DA. The electrochemical kinetics revealed that DA oxidation is quasi-reversible reaction coupling with one electron and two protons. Three linear ranges (0.01 mu M - 0.10 mu M, 0.10 mu M - 1.0 mu M, and 1.0 mu M - 80 mu M) were obtained on the MnO2 NWs-ErGO/GCE, with a low detection limit of 1.0 nM (S/N = 3). Moreover, the response current was almost unaltered even in the presence of 100-fold ascorbic acid (AA) and uric acid (UA), suggesting MnO2 NWs-ErGO has good selectivity toward DA. Finally, the MnO2 NWs-ErGO/GCEs were successfully applied to detect DA in the injection solutions and human blood serum samples with high accuracy and good recovery. (C) 2018 Elsevier Ltd. All rights reserved.

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