Akademik Veri Yönetim Sistemi
MICROCHEMICAL JOURNAL, cilt.204, 2024 (SCI-Expanded, Scopus)
Poor conductivity and surface passivation pose critical challenges in metal oxide structures during their application for non -enzymatic oxidation. To address this, we systematically employed in -situ deposition of carbonquantum dots (C -dots) over copper oxide (CuO), enhancing its electrocatalytic properties for direct nonenzymatic glucose oxidation in alkaline media. The process involved the systematic deposition of varying wt. % of C -dots onto the CuO nanostructure. The electrode ' s sensing capability was assessed through CV, DPV, and amperometric measurements, evaluating its suitability in high (0.1 to 0.85 mM) and low glucose concentration levels (15 to 225 nM) with a representative LOD of 1.4 nM (17142.86 mu A mM -1 cm -2 ). Additionally, the CuOCdot-16.6 protective coating allowed for long-term working capability, with chronoamperometric measurement confirming a 99 % current retention ability compared to pristine CuO ' s 39 % retention during 3500 s of continuous measurement. DFT calculations further confirmed the efficacy of CuO substrate as a scaffold for glucose adsorption. The stable CuO-glucose complex formed due to energetically favorable conditions further strengthens its potential as a sensor. Successful recoveries of spiked glucose serum samples validated the sensor ' s practical usage in complex matrices. Moreover, Machine learning was also adopted to validate the accuracy of glucose detection, where artificial neural network (ANN) model emerged as a suitable model to interpret the DPV derived data relationships, adding in sensor working capability and promising its future application in precision/ intelligent healthcare.