Implanting CoOx clusters on ordered macroporous Zno nanoreactors for efficient CO₂ photoreduction
Despite suffering from slow charge-carrier mobility, photocatalysis is still an attractive and promising technology toward producing green fuels from solar energy. An effective approach is to design and fabricate advanced architectural materials as photocatalysts to enhance the performance of semico...
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sg-ntu-dr.10356-1661162023-06-21T07:57:51Z Implanting CoOx clusters on ordered macroporous Zno nanoreactors for efficient CO₂ photoreduction Wang, Yan Fan, Guilan Wang, Sibo Li, Yunxiang Guo, Yan Luan, Deyan Gu, Xiaojun Lou, Xiong Wen David School of Chemistry, Chemical Engineering and Biotechnology Science::Chemistry Hollow Structures Nanoclusters Despite suffering from slow charge-carrier mobility, photocatalysis is still an attractive and promising technology toward producing green fuels from solar energy. An effective approach is to design and fabricate advanced architectural materials as photocatalysts to enhance the performance of semiconductor-based photocatalytic systems. Herein, metal–organic-framework-derived hierarchically ordered porous nitrogen and carbon co-doped ZnO (N-C-ZnO) structures are developed as nanoreactors with decorated CoOx nanoclusters for CO2-to-CO conversion driven by visible light. Introduction of hierarchical nanoarchitectures with highly ordered interconnected meso–macroporous channels shows beneficial properties for photocatalytic reduction reactions, including enhanced mobility of charge carriers throughout the highly accessible framework, maximized exposure of active sites, and inhibited recombination of photoinduced charge carriers. Density functional theory calculations further reveal the key role of CoOx nanoclusters with high affinity to CO2 molecules, and the CoO bonds formed on the surface of the composite exhibit stronger charge redistribution. As a result, the obtained CoOx/N-C-ZnO demonstrates enhanced photocatalysis performance in terms of high CO yield and long-term stability. Ministry of Education (MOE) Submitted/Accepted version X.W.L. acknowledges the funding support from the Ministry of Education of Singapore via the Academic Research Fund (AcRF) Tier 2 grant (MOE2019-T2-2-049). X.J.G. acknowledges the funding support from the National Natural Science Foundation of China (22162019), and the Science and Technology Projects of Inner Mongolia Autonomous Region (2021GG0195). 2023-04-17T07:30:49Z 2023-04-17T07:30:49Z 2022 Journal Article Wang, Y., Fan, G., Wang, S., Li, Y., Guo, Y., Luan, D., Gu, X. & Lou, X. W. D. (2022). Implanting CoOx clusters on ordered macroporous Zno nanoreactors for efficient CO₂ photoreduction. Advanced Materials, 34(42), 2204865-. https://dx.doi.org/10.1002/adma.202204865 0935-9648 https://hdl.handle.net/10356/166116 10.1002/adma.202204865 42 34 2204865 en MOE2019-T2-2-049 Advanced Materials © 2022 Wiley-VCH GmbH. All rights reserved. This is the peer reviewed version of the following article: Wang, Y., Fan, G., Wang, S., Li, Y., Guo, Y., Luan, D., Gu, X. & Lou, X. W. D. (2022). Implanting CoOx clusters on ordered macroporous Zno nanoreactors for efficient CO₂ photoreduction. Advanced Materials, 34(42), 2204865-, which has been published in final form at https://doi.org/10.1002/adma.202204865. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions. application/pdf |
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Science::Chemistry Hollow Structures Nanoclusters Wang, Yan Fan, Guilan Wang, Sibo Li, Yunxiang Guo, Yan Luan, Deyan Gu, Xiaojun Lou, Xiong Wen David Implanting CoOx clusters on ordered macroporous Zno nanoreactors for efficient CO₂ photoreduction |
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Despite suffering from slow charge-carrier mobility, photocatalysis is still an attractive and promising technology toward producing green fuels from solar energy. An effective approach is to design and fabricate advanced architectural materials as photocatalysts to enhance the performance of semiconductor-based photocatalytic systems. Herein, metal–organic-framework-derived hierarchically ordered porous nitrogen and carbon co-doped ZnO (N-C-ZnO) structures are developed as nanoreactors with decorated CoOx nanoclusters for CO2-to-CO conversion driven by visible light. Introduction of hierarchical nanoarchitectures with highly ordered interconnected meso–macroporous channels shows beneficial properties for photocatalytic reduction reactions, including enhanced mobility of charge carriers throughout the highly accessible framework, maximized exposure of active sites, and inhibited recombination of photoinduced charge carriers. Density functional theory calculations further reveal the key role of CoOx nanoclusters with high affinity to CO2 molecules, and the CoO bonds formed on the surface of the composite exhibit stronger charge redistribution. As a result, the obtained CoOx/N-C-ZnO demonstrates enhanced photocatalysis performance in terms of high CO yield and long-term stability. |
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School of Chemistry, Chemical Engineering and Biotechnology |
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School of Chemistry, Chemical Engineering and Biotechnology Wang, Yan Fan, Guilan Wang, Sibo Li, Yunxiang Guo, Yan Luan, Deyan Gu, Xiaojun Lou, Xiong Wen David |
format |
Article |
author |
Wang, Yan Fan, Guilan Wang, Sibo Li, Yunxiang Guo, Yan Luan, Deyan Gu, Xiaojun Lou, Xiong Wen David |
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Wang, Yan |
title |
Implanting CoOx clusters on ordered macroporous Zno nanoreactors for efficient CO₂ photoreduction |
title_short |
Implanting CoOx clusters on ordered macroporous Zno nanoreactors for efficient CO₂ photoreduction |
title_full |
Implanting CoOx clusters on ordered macroporous Zno nanoreactors for efficient CO₂ photoreduction |
title_fullStr |
Implanting CoOx clusters on ordered macroporous Zno nanoreactors for efficient CO₂ photoreduction |
title_full_unstemmed |
Implanting CoOx clusters on ordered macroporous Zno nanoreactors for efficient CO₂ photoreduction |
title_sort |
implanting coox clusters on ordered macroporous zno nanoreactors for efficient co₂ photoreduction |
publishDate |
2023 |
url |
https://hdl.handle.net/10356/166116 |
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1772825360841310208 |