Abstract
In this study, we have developed a sensitive and selective glucose sensor using novel CuO nanosheets which were grown on a gold coated glass substrate by a low temperature growth method. X-ray differaction (XRD) and scanning electron microscopy (SEM) techniques were used for the structural characterization of CuO nanostructures. CuO nanosheets are highly dense, uniform, and exhibited good crystalline array structure. X-ray photoelectron spectroscopy (XPS) technique was applied for the study of chemical composition of CuO nanosheets and the obtained information demonstrated pure phase CuO nanosheets. The novel CuO nanosheets were employed for the development of a sensitive and selective non-enzymatic glucose sensor. The measured sensitivity and a correlation coefficient are in order 5.20 × 102 μA/mMcm2 and 0.998, respectively. The proposed sensor is associated with several advantages such as low cost, simplicity, high stability, reproducibility and selectivity for the quick detection of glucose.
Highlights
Cupric oxide (CuO) exhibits a narrow band gap of 1.2 eV and has been widely investigated for various potential applications such as lithium ion electrodes, sensors, high critical temperature super- conductors, field emission emitter catalysts, etc. [1,2,3,4,5,6,7,8,9]
The synthesized CuO nanosheets are purely composed of monoclinic crystalline phase and the obtained diffraction peaks are in accordance with the reported standard JCPDS card no: (80-1917)
Novel CuO nanosheets were fabricated on a gold coated glass substrate by a hydrothermal method
Summary
Cupric oxide (CuO) exhibits a narrow band gap of 1.2 eV and has been widely investigated for various potential applications such as lithium ion electrodes, sensors, high critical temperature super- conductors, field emission emitter catalysts, etc. [1,2,3,4,5,6,7,8,9]. The solution-based growth approach is popular among the scientific community due to its several attractive features such as highly promising growth approach, low cost, and high yields of the to be prepared nanomaterials. The growth parameters such as concentration of reactants, temperature, time and pH of growth solution all have significant effects on the control of morphology and size of synthesized nanostructures. The copper and CuO nanomaterials are cost effective, non-toxic in some cases, and simple to synthesize They possess high specific capacitance, and are considered suitable materials for the sensing of glucose. The non-enzymatic glucose sensor based on these novel CuO nanosheets is highly sensitive, selective, stable and reproducible
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