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Ultrasensitive detection of dopamine using a carbon nanotube network microfluidic flow electrode

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Sansuk, Siriwat, Bitziou, Eleni, Joseph, Maxim B., Covington, James A., Boutelle, Martyn G., Unwin, Patrick R. and Macpherson, Julie V. (2013) Ultrasensitive detection of dopamine using a carbon nanotube network microfluidic flow electrode. Analytical Chemistry, Volume 85 (Number 1). pp. 163-169. doi:10.1021/ac3023586

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Official URL: http://dx.doi.org/10.1021/ac3023586

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Abstract

The electrochemical measurement of dopamine (DA), in phosphate buffer solution (pH 7.4), with a limit of detection (LOD) of 5 pM in 50 μL ( 250 attomol) is achieved using a band electrode comprised of a sparse network of pristine single-walled carbon nanotubes (SWNTs), which covers <1% of the insulating substrate. The SWNT electrodes are deployed as amperometric (anodic) detectors in microfluidic cells, produced by microstereolithography, designed specifically for flow injection analysis (FIA). The flow cells, have a channel (duct) geometry, with cell height of 25 μm, and are shown to be hydrodynamically well-defined, with laminar Poiseuille flow. In the arrangement where solution continuously flows over the electrode but the electrode is only exposed to the analyte for short periods of time, the SWNT electrodes do not foul and can be used repeatedly for many months. The LOD for dopamine (DA), reported herein, is significantly lower than previous reports using FIA–electrochemical detection. Furthermore, the SWNT electrodes can be used as grown, i.e., they do not require chemical modification or cleanup. The extremely low background signals of the SWNT electrodes, as a consequence of the sparse surface coverage and the low intrinsic capacitance of the SWNTs, means that no signal processing is required to measure the low currents for DA oxidation at trace levels. DA detection in artificial cerebral fluid is also possible with a LOD of 50 pM in 50 μL (2.5 fmol).

Item Type: Journal Article
Divisions: Faculty of Science, Engineering and Medicine > Science > Chemistry
Faculty of Science, Engineering and Medicine > Engineering > Engineering
Journal or Publication Title: Analytical Chemistry
Publisher: American Chemical Society
ISSN: 0003-2700
Official Date: 2 January 2013
Dates:
DateEvent
2 January 2013Published
Volume: Volume 85
Number: Number 1
Page Range: pp. 163-169
DOI: 10.1021/ac3023586
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access

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