4.6 Article

3D ordered macroporous SmCoO3 perovskite for highly active and selective hydrogen peroxide detection

期刊

ELECTROCHIMICA ACTA
卷 260, 期 -, 页码 372-383

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.electacta.2017.12.084

关键词

Hydrogen peroxide; Interfering species; Non-enzymatic; PMMA; 3DOM-SmCoO3

资金

  1. National Natural Science Foundation of China [21576135]
  2. Youth Fund in Jiangsu Province [BK20150945]
  3. Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD)

向作者/读者索取更多资源

We reported the direct electrochemical hydrogen peroxide detection on three-dimensionally ordered macroporous SmCoO3 (3DOM-SmCoO3) perovskite oxide electrode synthesized via a poly (methyl methacrylate) (PMMA) colloidal crystal templating route. The low-cost and simple 3DOM-SmCoO3 sensor not only overcome the various disadvantages of enzyme-and noble metal-based sensors but also display a superior sensing performance for H2O2 detection. More importantly, using 800 nm PMMA microspheres, a hexagonally ordered macroporous crystalline structure can be created, which features large surface area (20.14 m(2) g(-1)) and large, open, interconnected channels for facile reactants and ions diffusions. The resultant 3DOM-SmCoO3 synthesized using 800 nm PMMA microspheres template (3D-SC- 800) displayed higher sensitivity (715 and 460 mA mM(-1) cm(-2)), lower limit of detection (0.004 mM), larger detection linear range (0.1-10,000 mM), and higher selectivity in the presence of interfering species (i. e., glucose, ascorbic acid, dopamine, and uric acid), for H2O2 detection, relative to SmCoO3 (SC) and SmCoO3 synthesized using 200 nm PMMA template (3D-SC-200). Our comprehensive electrochemical characterization attributes the superior H2O2 electrooxidation performance of 3D-SC-800 to its fast electron transfer kinetics and diffusion rate. What we demonstrated here bolsters the future opportunity to harness ordered macroporous perovskite oxide-based materials for highly active and selective non-enzymatic H2O2 detection. (c) 2017 Elsevier Ltd. All rights reserved.

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