557
Views
23
CrossRef citations to date
0
Altmetric
BIOSENSORS

A Nonenzymatic Glucose Sensor Based on a Copper Nanoparticle–Zinc Oxide Nanorod Array

, , , , &
Pages 1147-1161 | Received 10 Aug 2013, Accepted 06 Nov 2013, Published online: 21 Apr 2014
 

Abstract

A non-enzymatic sensor for glucose based on copper nanoparticles and zinc oxide nanorod array modified fluorine-doped tin oxide conductive glass electrode was constructed by two-step electrodeposition. The electrode was characterized by scanning electron microscopy and X-ray diffraction. The electrochemical behavior of the modified electrodes was investigated by cyclic voltammetry and electrochemical impedance spectroscopy. Under the optimal conditions, the modified electrode offered a rapid response to glucose in the range from 5 × 10−6 M to 1.1 × 10−3 M (R = 0.9975) with a detection limit of 3 × 10−7 M (S/N = 3) and a sensitivity of 609.8 µA · mM−1. The preparation and operation of the biosensor was simple, had lower cost, and offered excellent performance due to its high sensitivity, good stability, reproducibility, and selectivity against other substances. The satisfactory results illustrated that it was promising for the determination of glucose in alkaline solutions.

Notes

PtNFs-GO: platinum nanoflowers-graphene oxide, SWCNTs: single-walled carbon nanotubes, GCE: Glassy carbon electrode, MWCNTs: multi-walled carbon nanotubes, NiO-NFs: NiO nanofibers.

Color versions of one or more of the figures in the article can be found online at www.tandfonline.com/lanl.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 768.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.