Porous nitrogen-doped reduced graphene oxide-supported CuO@Cu2O hybrid electrodes for highly sensitive enzyme-free glucose biosensor

被引:10
|
作者
Wei, Qing [1 ]
Wu, Ling [2 ]
Zhu, Meiwen [3 ]
Wang, Zhipeng [4 ]
Huang, Zheng-Hong [5 ]
Wang, Ming-Xi [1 ]
机构
[1] Wuhan Inst Technol, Sch Chem & Environm Engn, Key Lab Biomass based Mat Environm & Energy Petr &, Wuhan 430205, Peoples R China
[2] Wuhan Univ Sci & Technol, Sch Chem & Chem Engn, Hubei Prov Key Lab Coal Convers & New Carbon Mat, Wuhan 430081, Peoples R China
[3] Chongqing Acad Metrol & Qual Inspect, Chongqing 401123, Peoples R China
[4] Jiangxi Normal Univ, Inst Adv Mat, 99 Ziyang Ave, Nanchang 330022, Peoples R China
[5] Tsinghua Univ, Sch Mat Sci & Engn, Lab Adv Mat, Beijing 100084, Peoples R China
基金
中国国家自然科学基金;
关键词
COPPER-OXIDE; PERFORMANCE; ELECTROCATALYSIS; NANOSTRUCTURES; NANOTUBES; NI;
D O I
10.1016/j.isci.2023.106155
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Constructing high-performance enzyme-free biosensors for detecting glucose is essential to preliminary diabetes diagnosis. Here, copper oxide nanoparticles (CuO@Cu2O NPs) were anchored in porous nitrogen-doped reduced graphene oxide (PNrGO) to construct CuO@Cu2O/PNrGO/GCE hybrid electrode for sensitive detection of glucose. Benefiting from the remarkable synergistic effects be-tween the multiple high activation sites of CuO@Cu2O NPs and the dramatic properties of PNrGO with excellent conductivity and large surface area with many accessible pores, the hybrid electrode possesses outstanding glucose sensing performance that is far superior to those of pristine CuO@Cu2O electrode. The as-fabricated enzyme-free glucose biosensor displays prominent glucose sensitivity of 2,906.07 mA mM(-1) cm (-2), extremely low limit of detection of 0.13 mM, and wide linear detection of 3 mu M-6.772 mM. In addition, excellent reproducibility, favorable long-term stability, and distinguished selectivity are obtained in the glucose detection. Importantly, this study provides promising re-sults for continuous improvement of non-enzyme sensing applications.
引用
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页数:18
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