Residential College | false |
Status | 已發表Published |
In situ characterization for boosting electrocatalytic carbon dioxide reduction | |
Cao Xueying1; Tan Dongxing1; Wulan Bari1; HUI KWUN NAM2![]() ![]() | |
Source Publication | Small Methods
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2021-09 | |
Abstract | The electrocatalytic reduction of carbon dioxide into organic fuels and feedstocks is a fascinating method to implement the sustainable carbon cycle. Thus, a rational design of advanced electrocatalysts and a deep understanding of reaction mechanisms are crucial for the complex reactions of carbon dioxide reduction with multiple electron transfer. In situ and operando techniques with real-time monitoring are important to obtain deep insight into the electrocatalytic reaction to reveal the dynamic evolution of electrocatalysts’ structure and composition under experimental conditions. In this paper, the reaction pathways for the CO2 reduction reaction (CO2RR) in the generation of various products (e.g., C1 and C2) via the proposed mechanisms are introduced. Moreover, recent advances in the development and applications of in situ and operando characterization techniques, from the basic working principles and in situ cell structure to detailed applications are discussed. Suggestions and future directions of in situ/operando analysis are also addressed. |
Volume | 5 |
Pages | 2100700 |
Document Type | Review article |
Collection | INSTITUTE OF APPLIED PHYSICS AND MATERIALS ENGINEERING |
Corresponding Author | Zhang Jintao |
Affiliation | 1.Key Laboratory for Colloid and Interface Chemistry, Ministry of Education, School of Chemistry and Chemical Engineering, Shandong University, Jinan, 250100 P. R. China 2.Joint Key Laboratory of the Ministry of Education, Institute of Applied Physics and Materials Engineering, University of Macau, Avenida da Universidade, Taipa, Macau SAR, China |
Recommended Citation GB/T 7714 | Cao Xueying,Tan Dongxing,Wulan Bari,et al. In situ characterization for boosting electrocatalytic carbon dioxide reduction[J]. Small Methods, 2021, 5, 2100700. |
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