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Issue 13, 2018
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Facile fabrication of a 3,4,9,10-perylene tetracarboxylic acid functionalized graphene–multiwalled carbon nanotube–gold nanoparticle nanocomposite for highly sensitive and selective electrochemical detection of dopamine

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Abstract

A novel non-enzymatic electrochemical sensor for highly sensitive and selective detection of dopamine was developed based on a 3,4,9,10-perylene tetracarboxylic acid functionalized graphene–multiwalled carbon nanotube–gold nanoparticle nanocomposite modified glassy carbon electrode (PTCA-RGO-MWCNTs-Au NPs/GCE). The nanocomposite film was prepared by a facile, eco-friendly and controllable route and its morphology was characterized by transmission electron microscopy (TEM), scanning electron microscopy (SEM), energy-dispersive X-ray spectroscopic (EDX) analysis, and X-ray diffraction (XRD) spectroscopy, respectively. Cyclic voltammetry and chronoamperometry were used for evaluating the electrochemical behaviors of the prepared sensor. The DA sensor exhibited excellent electrochemical performance toward DA with a sensitivity as high as 0.124 μA mM−1, a wide linear range of 1–100 μM and a low detection limit of 0.07 μM (S/N = 3). Moreover, it showed good selectivity toward DA without any obvious interference by AA and UA. Furthermore, the prepared DA sensor was applied to detect DA in real samples with satisfactory results.

Graphical abstract: Facile fabrication of a 3,4,9,10-perylene tetracarboxylic acid functionalized graphene–multiwalled carbon nanotube–gold nanoparticle nanocomposite for highly sensitive and selective electrochemical detection of dopamine

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Publication details

The article was received on 25 Mar 2018, accepted on 10 May 2018 and first published on 11 May 2018


Article type: Paper
DOI: 10.1039/C8AN00559A
Citation: Analyst, 2018,143, 3075-3084
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    Facile fabrication of a 3,4,9,10-perylene tetracarboxylic acid functionalized graphene–multiwalled carbon nanotube–gold nanoparticle nanocomposite for highly sensitive and selective electrochemical detection of dopamine

    C. Zhang, J. Ren, J. Zhou, M. Cui, N. Li, B. Han and Q. Chen, Analyst, 2018, 143, 3075
    DOI: 10.1039/C8AN00559A

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