Electrocatalytic detection of dopamine at single-walled carbon nanotubes-iron (III) oxide nanoparticles platform
Electrocatalytic detection of dopamine at single-walled carbon nanotubes-iron (III) oxide nanoparticles platform
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DOI：
10.1016/j.snb.2010.03.088
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发表时间：
2010-06-30
影响因子：
8.4
通讯作者：
Ozoemena, Kenneth I.
中科院分区：
文献类型：
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作者：
Adekunle, Abolanle S.;Agboola, Bolade O.;Ozoemena, Kenneth I.
首次报道了利用单壁碳纳米管-氧化铁（SWCNT/Fe 2 O3）纳米粒子修饰的边平面热解石墨电极（EPPGEs）对多巴胺（DA）进行灵敏检测的电化学传感器。采用场发射扫描电子显微镜、原子力显微镜和X射线能谱对EPPGE-SWCNT-Fe 2 O3的表面进行了表征，采用循环伏安法、方波伏安法和电化学阻抗谱技术对EPPGE-SWCNT-Fe 2 O3的电化学性能进行了研究。当与裸电极或没有Fe 2 O3纳米颗粒的电极相比时，EPPGE-SWCNT-Fe 2 O3给出最佳响应此外，EPPGE-SWCNT-Fe 2 O3显示出对DA的最佳分析性能，其电子转移速率常数类似于0.26 cm s（-1），灵敏度为3.44 μ A μ M-1，检测限为0.36 μ M，催化速率常数为8.7 × 10（5）cm（3）mol（-1）s（-1），扩散系数为3.5 × 10（-5）cm（2）s（-1）。该电极可可靠地用于测定其真实的药物组合物中的DA。(C)2010爱思唯尔有限公司版权所有。
Electrochemical sensors using edge-plane pyrolytic graphite electrode (EPPGEs) modified with single-wall carbon nanotubes-iron (Ill) oxide (SWCNT/Fe2O3) nanoparticles for the sensitive detection of dopamine (DA) are described for the first time. The surface of the EPPGE-SWCNT-Fe2O3 was characterized using field emission scanning electron microscopy, atomic force microscopy and energy dispersive X-ray spectroscopy while the electrochemical properties were investigated using the cyclic voltammetry, square wave voltammetry and electrochemical impedance spectroscopy techniques. When compared with the bare electrode or electrodes without the Fe2O3 nanoparticles, the EPPGE-SWCNT-Fe2O3 gave best response (7 times more than bare EPPGE and 2-fold more than the other two modified electrodes) towards the detection of DA. Also, the EPPGE-SWCNT-Fe2O3 showed the best analytical performance for DA with an electron transfer rate constant of similar to 0.26 cm s(-1), a sensitivity of 3.44 mu A mu M-1, a limit of detection of 0.36 mu M, a catalytic rate constant of 8.7 x 10(5) cm(3) mol(-1) s(-1), and a diffusion coefficient of 3.5 x 10(-5) cm(2) s(-1). This electrode can be reliably used to assay DA in its real drug composition. (C) 2010 Elsevier B.V. All rights reserved.