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Issue 15, 2018
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An interdigitated electrode with dense carbon nanotube forests on conductive supports for electrochemical biosensors

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Abstract

A highly sensitive interdigitated electrode (IDE) with vertically aligned dense carbon nanotube forests directly grown on conductive supports was demonstrated by combining UV lithography and a low temperature chemical vapor deposition process (470 °C). The cyclic voltammetry (CV) measurements of K4[Fe(CN)6] showed that the redox current of the IDE with CNT forests (CNTF-IDE) reached the steady state much more quickly compared to that of conventional gold IDE (Au-IDE). The performance of the CNTF-IDE largely depended on the geometry of the electrodes (e.g. width and gap). With the optimum three-dimensional electrode structure, the anodic current was amplified by a factor of ∼18 and ∼67 in the CV and the chronoamperometry measurements, respectively. The collection efficiency, defined as the ratio of the cathodic current to the anodic current at steady state, was improved up to 97.3%. The selective detection of dopamine (DA) under the coexistence of L-ascorbic acid with high concentration (100 μM) was achieved with a linear range of 100 nM–100 μM, a sensitivity of 14.3 mA mol−1 L, and a limit of detection (LOD, S/N = 3) of 42 nM. Compared to the conventional carbon electrodes, the CNTF-IDE showed superior anti-fouling property, which is of significant importance for practical applications, with a negligible shift of the half-wave potential (ΔE1/2 < 1.4 mV) for repeated CV measurements of DA at high concentration (100 μM).

Graphical abstract: An interdigitated electrode with dense carbon nanotube forests on conductive supports for electrochemical biosensors

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Publication details

The article was received on 22 Mar 2018, accepted on 05 Jun 2018 and first published on 12 Jun 2018


Article type: Paper
DOI: 10.1039/C8AN00528A
Citation: Analyst, 2018,143, 3635-3642
  • Open access: Creative Commons BY license
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    An interdigitated electrode with dense carbon nanotube forests on conductive supports for electrochemical biosensors

    H. Sugime, T. Ushiyama, K. Nishimura, Y. Ohno and S. Noda, Analyst, 2018, 143, 3635
    DOI: 10.1039/C8AN00528A

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