Printing surface cuprous oxides featured liquid metal for non-enzymatic electrochemical glucose sensor

被引:2
|
作者
Luo, Yiyao [1 ]
Liao, Gengcheng [1 ]
Guo, Zixuan [1 ]
Huang, Zongyu [1 ,3 ]
Ren, Long [2 ]
Qi, Xiang [1 ]
机构
[1] Xiangtan Univ, Sch Phys & Optoelect, Human Key Lab Micronano Energy Mat & Devices, Xinxiang Rd,Xianfeng St, Xiangtan 411105, Hunan, Peoples R China
[2] Wuhan Univ Technol, Int Sch Mat Sci & Engn, State Key Lab Adv Technol Mat Synth & Proc, 122 Luoshi Rd, Wuhan 430070, Hubei, Peoples R China
[3] Hunan Univ, Human Key Lab Two dimens Mat, Changsha 410082, Hunan, Peoples R China
来源
SOFT SCIENCE | 2024年 / 4卷 / 01期
基金
中国国家自然科学基金;
关键词
Glucose sensor; liquid metal; cuprous oxide; printing biosensors; DIABETES MANAGEMENT; NANOPARTICLES; GROWTH;
D O I
10.20517/ss.2023.40
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
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 mu M-10 mM) of effective detection, low detection limit down to 1 mu M, and high sensitivity of 0.87 mu A<middle dot>mM(-1)<middle dot>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.
引用
收藏
页数:12
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