Selective Electrochemical Detection of Dopamine Using Reduced Graphene Oxide Sheets-Gold Nanoparticles Modified Electrode

被引:21
|
作者
Park, Da-Jeong [1 ]
Choi, Jin-Ha [1 ]
Lee, Won-Jin [1 ]
Um, Soong Ho [2 ]
Oh, Byung-Keun [1 ,3 ]
机构
[1] Sogang Univ, Dept Chem & Biomol Engn, Seoul 04107, South Korea
[2] Sungkyunkwan Sogang Univ, Sch Chem Engn, Suwon 16419, South Korea
[3] Sogang Univ, Interdisciplinary Program Integrated Biotechnol, Seoul 04107, South Korea
基金
新加坡国家研究基金会;
关键词
Dopamine; Electrochemical Sensor; Graphene; Gold Nanoparticles; ASCORBIC-ACID; URIC-ACID; WIRELESS OPTOGENETICS; IN-VIVO; COMPOSITE; DISEASE; IMMUNOSENSOR; VOLTAMMETRY; RELEASE; SENSORS;
D O I
10.1166/jnn.2017.15073
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Dopamine (DA) is one of the most significant neurotransmitters, and it has a major role in the central nervous system, such as in cognition, motivation, and memory. Some neural diseases, including Alzheimer's disease (AD) and Parkinson's diseases (PD), are related with a lack of DA. Thus, the detection of DA is necessary for the early diagnosis of such diseases. In this study, we fabricate an electrochemical sensor by modifying an electrode with reduced graphene oxide sheet (rGS)-gold nanoparticle (GNP) complexes to determine DA and ascorbic acid (AA) in a mixture within a range of 0.1-100 mu M. The rGS was used to improve the selectivity of the sensor by having pi-pi interaction with DA, and the GNPs improved the sensitivity due to their great conductivity and large surface area. As a result, when the GNPs were immobilized on the rGS surface, the sensor exhibited greatly improved electrocatalytic activity compared with other cases, such as the individual application of rGS or GNPs. The performance of the sensor with the modified electrode was confirmed by scanning electron microscopy (SEM), cyclic voltammetry (CV), and differential pulse voltammetry (DPV) measurements. The results showed that it had linearity in the range of 0.1-100 mu M of DA and the limit of detection was 0.098 mu M in the presence of AA 400 mu M. Therefore, it could be applied to medical biosensors to diagnose neural diseases.
引用
收藏
页码:8012 / 8018
页数:7
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