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A highly sensitive nonenzymatic glucose sensor based on CuO nanoparticles decorated carbon spheres

•A CuO nanoparticles-carbon spheres core/shell composite was prepared.•A nonenzymatic electrochemical sensor was fabricated on the functional material.•The proposed sensor showed a high sensitivity of 2981μAmM−1cm−2.•The designed sensor was successfully applied to analyze glucose concentration in hu...

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Bibliographic Details
Published in:Sensors and actuators. B, Chemical Chemical, 2015-05, Vol.211, p.385-391
Main Authors: Zhang, Jing, Ma, Jianlei, Zhang, Shibo, Wang, Wenchang, Chen, Zhidong
Format: Article
Language:English
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Summary:•A CuO nanoparticles-carbon spheres core/shell composite was prepared.•A nonenzymatic electrochemical sensor was fabricated on the functional material.•The proposed sensor showed a high sensitivity of 2981μAmM−1cm−2.•The designed sensor was successfully applied to analyze glucose concentration in human serum samples. A highly sensitive nonenzymatic electrochemical sensor was fabricated for glucose determination based on CuO nanoparticles decorated carbon spheres (CuONPs-CSs). CuONPs-CSs was prepared by an in situ precipitation procedure. CuONPs-CSs was characterized by transmission electron microscopy, X-ray diffraction, X-ray photoelectron spectroscopy, Fourier transform infrared spectroscopy and electrochemical impedance spectroscopy. The CuONPs-CSs modified glassy carbon electrode showed enhanced electrocatalytic activity toward the oxidation of glucose in alkaline media, and a nonenzymatic glucose sensor was constructed based on the functional composite modified electrode. Under optimal experimental conditions, the designed sensor showed a fast response to glucose with a good linear concentration range from 5.0×10−7 to 2.3×10−3M, a high sensitivity of 2981μAmM−1cm−2 and a limit detection of 0.1μM at the signal-to-noise ratio of 3. This sensor showed good accuracy, acceptable precision and reproducibility. The sensor was highly selective to glucose in the presence of commonly interfering species like ascorbic acid, dopamine, uric acid and chloride ion, and successfully applied to analyze glucose concentration in human serum samples.
ISSN:0925-4005
1873-3077
DOI:10.1016/j.snb.2015.01.100