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Investigation of Glucose Sensing via Controlled Copper Concentration in CuO for Non-Enzymatic Glucose Biosensor

Non-enzymatic glucose sensors have emerged as pivotal tools for monitoring blood glucose levels, offering advantages over traditional enzymatic methods in terms of sensitivity, selectivity, and cost-effectiveness. This study explores the utilization of a simple and low-cost method for preparation of...

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Bibliographic Details
Published in:ECS journal of solid state science and technology 2023-11, Vol.12 (11), p.117004
Main Authors: B., Kiruthiga Devi, D., Bhuvanesh, E. S. R., Ajith Nix, Praveen, Palabindela, Das, Preeti, Tripathy, Sukanta Kumar, Behera, Bhaskar Chandra
Format: Article
Language:English
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Summary:Non-enzymatic glucose sensors have emerged as pivotal tools for monitoring blood glucose levels, offering advantages over traditional enzymatic methods in terms of sensitivity, selectivity, and cost-effectiveness. This study explores the utilization of a simple and low-cost method for preparation of copper oxide (CuO) nanostructures to look for the non-enzymatic glucose sensing. Morphological and structural analysis via Scanning Electron Microscopy and X-ray diffraction of synthesized CuO nanostructures revealed nearly same size, shape, and a pure monoclinic crystal structure. Fourier transform infrared spectroscopy further confirmed the monoclinic phase. More importantly, we employed CuO nanostructures-modified glassy carbon electrodes (GCE) to investigate the glucose sensing and sensing parameters. The electrodes exhibited comparable sensitivity, selectivity, and an extended dynamic range 0.4–0.6 V applied potentials with regard to earlier reports. Amperometric responses of lower concentration based synthesized CuO sample recorded at 0.5 V unveiled a low limit of detection of 5.9 μ M, a sensitivity of approximately 10.6 μ A/(mM·cm 2 ), and a rapid 2 s response time. Manipulating the CuO-nanostructures and integrating on the GCE can offer a promising opportunity for enhanced non-enzymatic glucose sensing with high sensitivity, selectivity, and broad dynamic range towards utility in real-time glucose monitoring, contributing to improved healthcare diagnostics and diabetes management.
ISSN:2162-8769
2162-8777
DOI:10.1149/2162-8777/ad0aad