Three-Dimensional Copper Foam Supported CuO Nanowire Arrays: An Efficient Non-enzymatic Glucose Sensor
[Display omitted] •The CuO nanowire arrays composite was synthesized on copper foam.•The CuO nanowires were covered by CuO nanoflowers evenly, providing more active sites.•The sensor exhibits excellent sensitivity, selectivity, reproducibility, and stability toward glucose sensing without any polyme...
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Veröffentlicht in: | Electrochimica acta 2017-05, Vol.235, p.519-526 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | [Display omitted]
•The CuO nanowire arrays composite was synthesized on copper foam.•The CuO nanowires were covered by CuO nanoflowers evenly, providing more active sites.•The sensor exhibits excellent sensitivity, selectivity, reproducibility, and stability toward glucose sensing without any polymer binder.•The sensor can determine glucose concentration in human serum and tea.
Metal and metal oxides with various nanostructures have been widely studied in non-enzymatic glucose sensing. In this work, we report an efficient catalyst platform, which is made of three-dimensional copper foam (CF) skeleton and copper oxide nanowire arrays (CuONWA), is used to construct glucose sensor. The three-dimensional CuONWA/CF was synthesized via a facile wet-chemical method and subsequent annealing. The CuONWA is evenly covered by CuO nanoflowers. The morphology and composition of the platform were characterized. The nanowire arrays and nanoflowers both enhanced the electrocatalytic performance of the integrated electrode via greatly increasing the surface area of the CF substrate. The electrocatalytic properties of the non-enzymatic glucose sensor were characterized by a series of electrochemical measurements. The sensor exhibits excellent performance, with a linear range of 0.10μM–0.50mM, a sensitivity of 32330μAmM−1cm−2, a low limit of detection of 20nM (S/N=3), excellent selectivity, reproducibility, and stability. The sensor was also used for glucose sensing in human serum and Wahaha ice black tea, with relative standard deviations (for n=6) of 3.15% and 2.43%, respectively. |
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ISSN: | 0013-4686 1873-3859 |
DOI: | 10.1016/j.electacta.2017.03.150 |