Jump to main content
Jump to site search

Issue 19, 2017
Previous Article Next Article

Au nanoparticles anchored on Ni(OH)2 nanowires with multiple cavities for selective electrochemical detection of dopamine

Author affiliations

Abstract

Au nanoparticles supported on nickel hydroxide nanowires with multiple cavities (Au/m-Ni(OH)2) were synthesized and used for the enhanced electrochemical sensing of dopamine (DA). m-Ni(OH)2 nanowires were first fabricated based on an anion exchange strategy and then chosen as supports for Au nanoparticles without an additional stabilizer and surfactant. The morphology and composition of the nanocomposites were characterized by transmission electron microscopy (TEM), X-ray diffraction (XRD) and energy-dispersive X-ray spectroscopy (EDS). TEM observations revealed that Au nanoparticles were uniformly embedded in the cavities of m-Ni(OH)2 nanowires, with a high dispersion and a narrow size of 2 nm. Electrochemical investigations indicated that the as-prepared sensor exhibited fascinating performance towards the oxidation of DA. The linear range for DA detection was 0.45 μM to 1.78 mM with a low detection limit of 0.09 μM (S/N = 3). Additionally, the DA sensor possessed an excellent selectivity in the presence of potentially interfering substances such as ascorbic acid (AA), uric acid (UA) and glucose (Glu). Therefore, it is expected that Au/m-Ni(OH)2 nanocomposites could be used as electroactive materials for developing DA sensors.

Graphical abstract: Au nanoparticles anchored on Ni(OH)2 nanowires with multiple cavities for selective electrochemical detection of dopamine

Back to tab navigation

Publication details

The article was received on 10 Jan 2017, accepted on 13 Apr 2017 and first published on 18 Apr 2017


Article type: Paper
DOI: 10.1039/C7AY00090A
Citation: Anal. Methods, 2017,9, 2812-2820
  •   Request permissions

    Au nanoparticles anchored on Ni(OH)2 nanowires with multiple cavities for selective electrochemical detection of dopamine

    Y. Fu, Q. Sheng and J. Zheng, Anal. Methods, 2017, 9, 2812
    DOI: 10.1039/C7AY00090A

Search articles by author

Spotlight

Advertisements