Paper
9 May 2022 Fabrication of Cu/graphene layer via laser direct writing for flexible non-enzymatic glucose electrode
DaSheng Yang, RuiXue Yin, Yang Gao
Author Affiliations +
Proceedings Volume 12252, International Conference on Biometrics, Microelectronic Sensors, and Artificial Intelligence (BMSAI); 122520G (2022) https://doi.org/10.1117/12.2640279
Event: International Conference on Biometrics, Microelectronic Sensors, and Artificial Intelligence (BMSAI), 2022, Guangzhou, China
Abstract
Accurate and convenient detection of human glucose level is an effective method for early diagnosis of diabetes and prevention of complications. The flexible electrochemical glucose electrode with low cost, fast responsiveness, good stability, reliability, and high sensitivity has attracted much attention in the monitoring of glucose concentration. The preparation of a conductive layer with catalytic activity on a flexible substrate is the key to make a flexible glucose electrode. Here, we have successfully prepared graphene composite materials sintered with copper nanoparticles on a polyimide film by direct laser writing, and fabricated a flexible non-enzymatic glucose electrode using laser-ablated graphene (LAG) as a conductive electrode. The Cu/LAG electrode exhibits high catalytic activity for glucose. The glucose electrode shows a linear relationship with the sensitivity of 0.708 mA mM-1 cm-2 in 0.05-1.5 mM. In addition, The Cu/LAG electrode also exhibits excellent response time(~2s). The electrode has good application potential and can be used to monitor glucose in human sweat.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
DaSheng Yang, RuiXue Yin, and Yang Gao "Fabrication of Cu/graphene layer via laser direct writing for flexible non-enzymatic glucose electrode", Proc. SPIE 12252, International Conference on Biometrics, Microelectronic Sensors, and Artificial Intelligence (BMSAI), 122520G (9 May 2022); https://doi.org/10.1117/12.2640279
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KEYWORDS
Electrodes

Glucose

Copper

Graphene

Nanocomposites

Sensors

Nanoparticles

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