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Simultaneous manipulation of scalable absorbance and the electronic bridge for efficient CO2 photoreduction
Yangzhou Univ, Peoples R China.
Yangzhou Univ, Peoples R China.
Linköping University, Department of Science and Technology, Laboratory of Organic Electronics. Linköping University, Faculty of Science & Engineering.
Jiangsu Univ, Peoples R China.
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2022 (English)In: Journal of Materials Chemistry A, ISSN 2050-7488, E-ISSN 2050-7496, Vol. 10, no 48, p. 25661-25670Article in journal (Refereed) Published
Abstract [en]

Highly active, low-cost, and stable photocatalysts are the key point for the development of photocatalysis technology, which is one of the most promising advanced approaches to a greener future. As a nonmetallic polymer with high performance, graphitic carbon nitride (g-C3N4) has a notable effect on photocatalytic CO2 reduction. However, the narrow light absorption limits its photocatalytic efficiency. In this work, we prepared red g-C3N4 with the oxygen bridge structure (CSCN) using a grinding thermal polymerization method. The oxygen bridge structure provides more active sites, broadens the light absorption range, and improves the charge separation efficiency. Benefiting from the combined above advantages, CSCN exhibited a rate of photocatalytic reduction of CO2 to CO of 28.5 mu mol g(-1) h(-1). This work proposes a way to enhance the light absorption efficiency and CO2 reduction properties of g-C3N4.

Place, publisher, year, edition, pages
ROYAL SOC CHEMISTRY , 2022. Vol. 10, no 48, p. 25661-25670
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Identifiers
URN: urn:nbn:se:liu:diva-190641DOI: 10.1039/d2ta06939cISI: 000892520100001OAI: oai:DiVA.org:liu-190641DiVA, id: diva2:1720723
Note

Funding Agencies|National Natural Science Foundation of China [22178152, 41977085]; Natural Science Foundation of Jiangsu Province [BK20220598]; Key Laboratory of Electrochemical Energy Storage and Energy Conversion of Hainan Province [KFKT2022001]; High-tech Research Key laboratory of Zhenjiang [SS2018002]; China Postdoctoral Science Foundation [2019M661765]; 333 Project in Jiangsu Province [BRA2020300]; High-Performance Computing Platform of Jiangsu University

Available from: 2022-12-20 Created: 2022-12-20 Last updated: 2023-05-24Bibliographically approved

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Ding, Penghui

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