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 μM. The rGS was used to improve the selectivity of the sensor by having π–π 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 μM of DA and the limit of detection was 0.098 μM in the presence of AA 400 μM. Therefore, it could be
applied to medical biosensors to diagnose neural diseases.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
No Article Media
Document Type: Research Article
Department of Chemical and Biomolecular Engineering, Sogang University, Seoul 04107, Korea
School of Chemical Engineering, Sungkyunkwan Sogang University, Suwon 16419, Korea
Publication date: November 1, 2017
More about this publication?
Journal for Nanoscience and Nanotechnology (JNN) is an international and multidisciplinary peer-reviewed journal with a wide-ranging coverage, consolidating research activities in all areas of nanoscience and nanotechnology into a single and unique reference source. JNN is the first cross-disciplinary journal to publish original full research articles, rapid communications of important new scientific and technological findings, timely state-of-the-art reviews with author's photo and short biography, and current research news encompassing the fundamental and applied research in all disciplines of science, engineering and medicine.
- Editorial Board
- Information for Authors
- Subscribe to this Title
- Terms & Conditions
- Ingenta Connect is not responsible for the content or availability of external websites