4.7 Article

Grain boundary enriched CuO nanobundle for efficient non-invasive glucose sensors/fuel cells

期刊

JOURNAL OF COLLOID AND INTERFACE SCIENCE
卷 609, 期 -, 页码 139-148

出版社

ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.jcis.2021.11.105

关键词

Electrocatalysts; Grain boundary; Glucose oxidation; Glucose diffusion

资金

  1. National Natural Science Foundation of China [21902125]
  2. Key Research and Development Plan in Shaanxi province of China [2021KW-09]
  3. Opening Project of PCOSS, Xiamen University [202028]

向作者/读者索取更多资源

In this study, CuO nanobundles with high density and homogenous grain boundaries were prepared using a cascade-assembled strategy. The role of grain boundaries (GBs) in glucose oxidation reaction (GOR) activity was thoroughly investigated, showing that GBs contribute to faster glucose mass transfer and lower glucose oxidation barriers. This study sheds new light on the importance of GBs in optimizing GOR catalyst nanostructures.
Glucose oxidation reaction (GOR) plays a significant role in glucose fuel cells anode and glucose sensors. Therefore, optimizing the GOR catalyst nanostructure is auxiliary to their efficient operation. In this study, we present a cascade-assembled strategy to prepare CuO nanobundles (CuO-NB) with high density and homogenous grain boundaries (GBs). The essence of activity in GOR that depended on GBs are thoroughly investigated. The increased glucose diffusion coefficient of CuO-NB means that GBs has a faster glucose mass transfer, which is attributed to the terraces in GBs dislocation surface. Furthermore, the accumulation of electrons on GBs makes the glucose adsorption increased and the free energy of dehydrogenation step decreased, leading to a lower glucose oxidation barrier. Therefore, CuONB is appropriate for non-invasive glucose detection and glucose fuel cells. This study sheds new light on the GBs effect in GOR and paves the way for developing high-efficiency electrocatalysts. (c) 2021 Elsevier Inc. 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

4.7
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