4.8 Article

Polyacrylamide-Mediated Silver Nanoparticles for Selectively Enhancing Electroreduction of CO2 towards CO in Water

期刊

CHEMSUSCHEM
卷 14, 期 2, 页码 721-729

出版社

WILEY-V C H VERLAG GMBH
DOI: 10.1002/cssc.202002481

关键词

Ag nanoparticles; amide; CO2 reduction; nanohybrid; synergistic catalysis

资金

  1. National Natural Science Foundation of China [21972042]
  2. Student's Platform for Innovation and Entrepreneurship Training Program [S19005]

向作者/读者索取更多资源

A durable nanohybrid composed of Ag nanoparticles and polyacrylamide was developed for the selective electroreduction of CO2 to CO, demonstrating high efficiency and stability. The selective enhancement of CO2 reduction over the nanohybrid was achieved through the activation of CO2 and the reduction of overpotential for CO2 reduction.
Conversion of the greenhouse gas CO2 to value-added products is an important challenge for sustainable energy research. Here, a durably nanohybrid composed of Ag nanoparticles and polyacrylamide was constructed for the selectively electroreduction of CO2 to CO. The nanohybrid exhibited an outstanding CO faradaic efficiency of 97.2 +/- 0.2 % at -0.89 V-RHE (vs. the reversible hydrogen electrode) with a desirable CO partial current density of -22.0 +/- 2.3 mA cm(-2) and maintained the CO faradaic efficiency above 95 % over a wide potential range (-0.79 to -1.09 V-RHE), showing excellent stability during a 48 h prolonged electrolysis. The origins of selective enhancement of CO2 reduction over the nanohybrid stemmed from the activation of CO2 via hydrogen bond and the low basicity of the amide. DFT calculations implied that the synergy of Ag nanoparticles and amide could better stabilize the key intermediate (*COOH) and effectively lower the overpotential of CO2 reduction. These results establish the synergistic effects of organic/inorganic hybrid as a complementary method for tuning selectivity in CO2-to-fuels catalysis.

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

4.8
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