Issue 9, 2007

Carbon nanotube-modified microelectrodes for simultaneous detection of dopamine and serotoninin vivo

Abstract

Dopamine and serotonin are important neurotransmitters that interact in the brain. While dopamine is easily detected with electrochemical sensors, the detection of serotonin is more difficult because reactive species formed after oxidation can adsorb to the electrode, reducing sensitivity. Carbon nanotube treatments of electrodes have been used to increase the sensitivity, promote electron transfer, and reduce fouling. Most methods have focused on nanotube coatings of large electrodes and slower electrochemical techniques that are not conducive to measurements in vivo. In this study, we investigated carbon-fiber microelectrodes modified with single-walled carbon nanotubes for the co-detection of dopamine and serotoninin vivo. Using fast-scan cyclic voltammetry, S/N ratios for the neurotransmitters increased after nanotube coating. Electrocatalytic effects of nanotubes were not apparent at fast scan rates but faster kinetics were observed with slower scanning. Nanotube-modified microelectrodes showed significantly less fouling after exposure to serotonin than bare electrodes. The nanotube-modified electrodes were used to monitor stimulated dopamine and serotonin changes simultaneously in the striatum of anesthetized rat after administration of a serotonin synthetic precursor. These studies show that nanotube-coated microelectrodes can be used with fast scanning techniques and are advantageous for in vivo measurements of neurotransmitters because of their greater sensitivity and resistance to fouling.

Graphical abstract: Carbon nanotube-modified microelectrodes for simultaneous detection of dopamine and serotoninin vivo

Article information

Article type
Paper
Submitted
13 Apr 2007
Accepted
21 Jun 2007
First published
05 Jul 2007

Analyst, 2007,132, 876-884

Carbon nanotube-modified microelectrodes for simultaneous detection of dopamine and serotoninin vivo

B. E. K. Swamy and B. J. Venton, Analyst, 2007, 132, 876 DOI: 10.1039/B705552H

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