Fe2O3/CuO Hybrid Nanostructures as Electrode Materials for Glucose Detection

Document Type : Research Paper

Authors

Coordination Chemistry Research Laboratory, Department of Chemistry, Faculty of Science, Azarbaijan Shahid Madani University,

Abstract

In order to solve the disadvantages of using Fe2O3 nanoparticles in electrocatalytic processes, in this work, a series of Fe2O3/CuO hybrid nanostructures with different molar ratios of Fe3+ to Cu2+ ions were produced and their structure was investigated using various methods. Then, the compounds were used as electrode materials for electrochemical detection of glucose in alkaline solution. The results showed that the electrode containing pristine Fe2O3 shows no significant activity for glucose oxidation. Since FeIII oxide contains active electrocatalytic positions, this performance can be due to poor electrical conductivity. Investigations showed that when Fe2O3 and CuO nanoparticles are combined, the activity against glucose is improved by reducing the band gap and increasing the electrical conductivity. It was found that the ability of nanocomposites to recognize glucose depends on the molar ratios of Fe3+ and Cu2+ ions present in the structure, and the highest electrocatalytic performance is observed when the molar ratio of metal ions is equal. Fe2O3/CuO (0.5:0.5) nanocomposite shows the best activity for glucose oxidation in terms of high sensitivity, low detection limit and wide linear range due to its low Tafel slope, low charge transfer resistance, high electrochemically active surface area, low band gap and high electrical conductivity. In addition, this compound shows high stability, selectivity, and applicability for blood glucose detection with a reasonable recovery rate. In conclusion, the synergistic effects between Fe2O3 and CuO increase the number of active catalytic sites and rapid charge transfer on the electrode surface and promote the electrocatalytic activity towards glucose.

Keywords

Analytical and Bioanalytical Chemistry Research
Volume 11, Issue 3
July 2024
Pages 343-360

Files

Share

How to cite

Statistics