研究目的
Investigating the development of a novel photoelectrochemical-assisted batch-injection analysis (PEC-BIA) for glucose determination exploiting a Cu2O/Ni(OH)2/FTO photoelectrode.
研究成果
The Cu2O/Ni(OH)2/FTO platform demonstrated enhanced sensitivity for non-enzymatic photoelectrochemical detection of glucose under LED light, with good stability, wide linear response range, and low detection limit. The PEC-BIA system showed promising performance for glucose determination in artificial blood plasma samples.
研究不足
The study did not extensively explore the interference effects of other substances commonly found in real blood samples, such as ascorbic acid, which could affect the glucose determination accuracy.
1：Experimental Design and Method Selection:
The study involved the design and construction of a PEC-BIA cell using 3D printer technology, coupled with a LED lamp for light incidence control on the Cu2O/Ni(OH)2/FTO photoelectroactive platform. Electrochemical characteristics were evaluated using cyclic voltammetry, amperometry, and electrochemical impedance spectroscopy.
2：Sample Selection and Data Sources:
Artificial blood plasma samples were used to evaluate the applicability of the Cu2O/Ni(OH)2/FTO for glucose determination.
3：List of Experimental Equipment and Materials:
A potentiostat/galvanostat model PGSTAT 204 from Metrohm-Autolab, a MakerBot Mini Plus 3D Printer, and a Horiba-Jobin-Yvon triple spectrometer were among the key equipment used.
4：Experimental Procedures and Operational Workflow:
The construction of the photoelectrode involved electrodeposition of nickel-based films and Cu2O film on FTO slides. The PEC-BIA cell was then used for glucose determination under controlled light conditions.
5：Data Analysis Methods:
The data were analyzed using electrochemical impedance spectroscopy, Mott-Schottky analysis, and cyclic voltammetry to evaluate the photoelectrochemical properties and glucose sensing performance.
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