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

A promising sensing platform toward dopamine using MnO2 nanowires/electro-reduced graphene oxide composites
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使用MnO2纳米线/电还原氧化石墨烯复合材料的多巴胺传感平台有前景

DOI:
10.1016/j.electacta.2018.11.096
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发表时间:
2019-02-10
影响因子:
6.6
通讯作者:
Liang, Jing
Liang, Jing
中科院分区:
材料科学2区
文献类型:
--
作者:
He, Quanguo;Liu, Jun;Liang, Jing

文献摘要

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利用MnO2纳米线-电化学还原氧化石墨烯修饰玻碳电极(MnO2 NWs-ErGO/GCE)构建了一种极具前景的多巴胺(DA)超灵敏检测平台。所制备的MnO2 NWs-ErGO/ gce具有较大的电化学活性面积和较低的电荷转移电阻(R-ct)。结果表明,MnO2 NWs-ErGO的响应峰电流约为裸GCE的13倍,对DA具有显著的电催化活性。电化学动力学表明,DA氧化是一个单电子双质子耦合的准可逆反应。在MnO2 NWs-ErGO/GCE上得到0.01 μ M ~ 0.10 μ M、0.10 μ M ~ 1.0 μ M和1.0 μ M ~ 80 μ M三个线性范围,低检出限为1.0 nM (S/N = 3)。此外,即使存在100倍的抗坏血酸(AA)和尿酸(UA),响应电流也几乎没有变化,表明MnO2 NWs-ErGO对DA具有良好的选择性。最后,成功地将MnO2 NWs-ErGO/ gce用于检测注射溶液和人血清样品中的DA,具有较高的准确度和良好的回收率。(C) 2018 Elsevier Ltd.版权所有。
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.