4.6 Article

Multicore-Shell Ag-CuO networked with CuO nanorods for enhanced non-enzymatic glucose detection

出版社

ELSEVIER
DOI: 10.1016/j.colsurfa.2020.124816

关键词

Ag-CuO nanocomposite; Multicore-shell heterostructures; Non-enzymatic glucose detection; CuO based electrochemical glucose sensors

资金

  1. Basic Science Research Program through the National Research Foundation of Korea (NRF) - Ministry of Education, Science and Technology [2017R1A2B4007213]
  2. Incheon National University
  3. National Research Foundation of Korea [2017R1A2B4007213] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

向作者/读者索取更多资源

This article describes a non-enzymatic electrocatalyst with high sensitivity and selectivity towards glucose. The electrocatalyst is based on a multicore-shell Ag-CuO nanocomposite networked with CuO nanorods. The composition of Ag-CuO plays a critical role in the formation of the unique network-like structure of Ag-CuO as well as in its electrocatalytic and sensing effects towards glucose. The electrocatalytic activity of CuO towards glucose was drastically improved by the incorporation of silver nanoparticles (Ag NPs) into the CuO nanostructures, which was accompanied by a substantial decrease in the charge transfer resistance (as confirmed by electrochemical impedance spectroscopic analysis). Among the different Ag-CuO composites prepared by varying the Ag-to-Cu atomic ratio, Ag-CuO(1:2.5) exhibited the best electrocatalytic activity towards glucose. The limit of detection and sensitivity of the Ag-CuO(1:2.5)-modified electrode were calculated to be 5 mu M and 150.17 mu A mM(-1) cm(-2), respectively, with a wide glucose detection range from 5 mu M to 30 mM. Furthermore, the Ag-CuO(1:2.5) electrode exhibited excellent selectivity towards glucose in the presence of typical interfering agents (i.e., ascorbic acid, uric acid, dopamine, sucrose and NaCl) in blood. The Ag-CuO(1:2.5)-modified electrode further showed excellent reproducibility (relative standard deviation (RSD) of 2.9 %) and repeatability.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据