4.6 Article

Ex Situ Hybridized Hexagonal Cobalt Oxide Nanosheets and RGO@MWCNT Based Nanocomposite for Ultra-Selective Electrochemical Detection of Ascorbic Acid, Dopamine, and Uric Acid

期刊

JOURNAL OF THE ELECTROCHEMICAL SOCIETY
卷 166, 期 6, 页码 B304-B311

出版社

ELECTROCHEMICAL SOC INC
DOI: 10.1149/2.0131906jes

关键词

-

资金

  1. Technology Innovation Program - Ministry of Trade, industry & Energy (MI, Korea) [20000773]
  2. Bio & Medical Technology Development Program of the NRF - Korean government (MSIT) [NRF-2017M3A9F1031270]
  3. Kwangwoon University

向作者/读者索取更多资源

A novel nanocomposite of hexagonal cobalt oxide nanosheets (HCONS) homogeneously dispersed on a carbon matrix of reduced graphene oxide (RGO) and multiwall carbon nanotubes (MWCNTs) has been developed. The HCONS@RGO@MWCNT nanocomposite was prepared successfully via a hydrothermal process followed by calcinations for the individual and simultaneous non-enzymatic detection of ascorbic acid (AA), uric acid (UA), and dopamine (DA). The morphology and structure of the HCONSs and synthesized nanocomposite were analyzed by X-ray photoelectron spectroscopy (XPS), field emission scanning electron microscopy (FESEM), energy dispersive X-ray spectroscopy (EDX), and Raman spectra. The electrochemical performance of the nanocomposite was investigated using cyclic voltammetry (CV) and electrochemical impedance spectroscopy (EIS). Under optimized conditions, the simultaneous determination of the AA, DA, and UA were examined using differential pulse voltammetry (DPV) with linear ranges of (12.5-1382), (1.6-23.6), and (46.5-806.5) mu M, and lower detection limits of 12.5, 0.012, and 1.5 mu M (S/N= 3), respectively. The proposed electrode exhibited an excellent selectivity, long-term stability, and good reproducibility. Therefore, the developed nanocomposite is a promising material for non-enzymatic electrochemical sensors. (C) 2019 The Electrochemical Society.

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