A Nonoxidative Sensor Based on a Self-Doped Polyaniline/Carbon Nanotube Composite for Sensitive and Selective Detection of the Neurotransmitter Dopamine
| Autor: | Shah R. Ali, Yetunde Balogun, Rishi R. Parajuli, Yufeng Ma, Warren Y.-C. Lai, Huixin He |
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| Rok vydání: | 2007 |
| Předmět: |
Dopamine
Ascorbic Acid Carbon nanotube Sensitivity and Specificity Analytical Chemistry law.invention chemistry.chemical_compound law Nafion Polyaniline medicine Organic chemistry Electrodes Neurons chemistry.chemical_classification Aniline Compounds Molecular Structure Nanotubes Carbon Polymer Ascorbic acid Combinatorial chemistry Fluorocarbon Polymers chemistry Selectivity Oxidation-Reduction Boronic acid medicine.drug |
| Zdroj: | Analytical Chemistry. 79:2583-2587 |
| ISSN: | 1520-6882 0003-2700 |
| Popis: | Most of the current techniques for detection of dopamine exploit its ease of oxidation. However, the oxidative approaches suffer from a common problem. The products of dopamine oxidation can react with ascorbic acid present in samples and regenerate dopamine again, which severely limits the accuracy of detection. In this paper, we report a nonoxidative approach to electrochemically detect dopamine with high sensitivity and selectivity. This approach takes advantage of the high performance of our newly developed poly(anilineboronic acid)/carbon nanotube composite and the excellent permselectivity of the ion-exchange polymer Nafion. The binding of dopamine to the boronic acid groups of the polymer with large affinity affects the electrochemical properties of the polyaniline backbone, which act as the transduction mechanism of this nonoxidative dopamine sensor. The unique reduction capability and high conductivity of single-stranded DNA functionalized, single-walled carbon nanotubes greatly improved the electrochemical activity of the polymer in physiological buffer, and the large surface area of the carbon nanotubes largely increased the density of the boronic acid receptors. The high sensitivity along with the improved selectivity of this sensing approach is a significant step forward toward molecular diagnosis of Parkinson's disease. |
| Databáze: | OpenAIRE |
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