以液态金属为特征的印刷表面氧化亚铜用于非酶电化学葡萄糖传感器

Soft science Pub Date : 2024-01-15 DOI:10.20517/ss.2023.40
Yiyao Luo, Gengcheng Liao, Zixuan Guo, Zongyu Huang, L. Ren, Xiang Qi
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引用次数: 0

摘要

由于二维(2D)氧化物具有很强的传感活性,因此依赖于二维(2D)氧化物的电化学葡萄糖传感器备受关注,但其实际应用却因电极和集成器件制造的复杂性和高成本而受到阻碍。本文为非酶电化学传感器开发了一种便捷有效的制备路线,包括打印镓基液态金属(LM)作为集流电极,然后在温和条件下直接在镓基液态金属表面生长电化学活性二维氧化物。具体来说,二维退火氧化铜(ACO)通过电化学置换反应成功地生长在印刷镓电极上,从而在活性传感材料和电流收集基底之间形成了机械和电气匹配良好的界面。得益于大量的二维 ACO 和界面上良好的电荷转移,制备的 ACO 电极表现出极具吸引力的葡萄糖传感性能,有效检测线性范围宽(1 μM-10 mM),检测限低至 1 μM,灵敏度高达 0.87 μA-mM-1-cm-2。我们的研究凸显了将 LMs 用于生物传感应用的潜力,并为在饮食和临床诊断环境中有效检测葡萄糖提供了一种非酶基电化学生物传感器平台。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Printing surface cuprous oxides featured liquid metal for non-enzymatic electrochemical glucose sensor
Electrochemical glucose sensors that rely on two-dimensional (2D) oxides have attracted significant attention owing to the strong sensing activity of 2D oxides, but their practical application is hindered by the complexity and high cost of fabrication of electrodes and integrated devices. Herein, a convenient and effective fabrication route that includes printing a Ga-based liquid metal (LM) as a current collection electrode, followed by growing electrochemically active 2D oxides directly on the surface of Ga-based LMs under mild conditions, is developed for non-enzyme-based electrochemical sensors. Specifically, 2D annealed Cu-Oxide (ACO) is successfully grown on a printed Ga electrode through a galvanic replacement reaction, resulting in the formation of a mechanically and electrically well-matched interface between the active sensing materials and the current collection substrate. Benefitting from the high quantity of 2D ACO and good charge transfer at the interface, the as-prepared ACO electrode exhibits attractive glucose sensing performance, with a wide linear range (1 μM-10 mM) of effective detection, low detection limit down to 1 μM, and high sensitivity of 0.87 μA·mM-1·cm-2. Our study highlights the potential of using LMs in bio-sensing applications and provides a non-enzyme-based electrochemical biosensor platform for effective glucose detection in diets and clinical diagnostic settings.
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