Optimizing the Oxygen Vacancies Concentration of Thin NiO Nanosheets for Efficient Selective CO2 Photoreduction. Issue 12 (9th November 2021)
- Record Type:
- Journal Article
- Title:
- Optimizing the Oxygen Vacancies Concentration of Thin NiO Nanosheets for Efficient Selective CO2 Photoreduction. Issue 12 (9th November 2021)
- Main Title:
- Optimizing the Oxygen Vacancies Concentration of Thin NiO Nanosheets for Efficient Selective CO2 Photoreduction
- Authors:
- Xiang, Junxiang
Zhang, Tingshi
Cao, Ruodan
Lin, Mingxiong
Yang, Bixia
Wen, Yonglin
Zhuang, Zanyong
Yu, Yan - Abstract:
- Abstract : In designing highly efficient CO2 reduction reaction (CRR) photocatalysts with excellent selectivity and efficiency, a key limitation is the poor understanding on the mechanism response of the active sites of catalysts to CRR selectivity and activity. Herein, it is revealed how the concentration of point defect affects the CRR selectivity and activity of catalysts. Quasi‐2D NiO nanosheets (NSs) that are composed of NiO nanoparticles (NPs), and finely tuned the oxygen vacancies (OVs) concentration of the NSs by regulating the grain size (≈5–25 nm) of NPs are created. The NiO with moderate OVs concentration has the highest photocatalytic CRR efficiency and selectivity ( V CO = 17.2 μmol h −1, 98.3%), outperforming other prepared NiO catalysts and reported Ni‐based photocatalysts. Density functional theory calculation associated with the CO2 temperature‐programmed desorption confirms that the moderate OVs concentration enables strong CO2 binding to promote CO2 adsorption and activation and allows efficient charge transfer. In contrast, excessive OVs reduce the CO2 binding affinity and restrain charge mobility, both detrimental to the CRR performance. Abstract : It is demonstrated that the defect concentration determines the CO2 reduction reaction (CRR) selectivity and efficiency of catalysts. The moderate oxygen vacancies (OVs) concentration enables strong CO2 binding to promote CO2 adsorption and activation and allows efficient charge transfer. Excessive OVs reduceAbstract : In designing highly efficient CO2 reduction reaction (CRR) photocatalysts with excellent selectivity and efficiency, a key limitation is the poor understanding on the mechanism response of the active sites of catalysts to CRR selectivity and activity. Herein, it is revealed how the concentration of point defect affects the CRR selectivity and activity of catalysts. Quasi‐2D NiO nanosheets (NSs) that are composed of NiO nanoparticles (NPs), and finely tuned the oxygen vacancies (OVs) concentration of the NSs by regulating the grain size (≈5–25 nm) of NPs are created. The NiO with moderate OVs concentration has the highest photocatalytic CRR efficiency and selectivity ( V CO = 17.2 μmol h −1, 98.3%), outperforming other prepared NiO catalysts and reported Ni‐based photocatalysts. Density functional theory calculation associated with the CO2 temperature‐programmed desorption confirms that the moderate OVs concentration enables strong CO2 binding to promote CO2 adsorption and activation and allows efficient charge transfer. In contrast, excessive OVs reduce the CO2 binding affinity and restrain charge mobility, both detrimental to the CRR performance. Abstract : It is demonstrated that the defect concentration determines the CO2 reduction reaction (CRR) selectivity and efficiency of catalysts. The moderate oxygen vacancies (OVs) concentration enables strong CO2 binding to promote CO2 adsorption and activation and allows efficient charge transfer. Excessive OVs reduce the CO2 binding affinity and restrain charge mobility, both detrimental to the CRR performance. … (more)
- Is Part Of:
- Solar RRL. Volume 5:Issue 12(2021)
- Journal:
- Solar RRL
- Issue:
- Volume 5:Issue 12(2021)
- Issue Display:
- Volume 5, Issue 12 (2021)
- Year:
- 2021
- Volume:
- 5
- Issue:
- 12
- Issue Sort Value:
- 2021-0005-0012-0000
- Page Start:
- n/a
- Page End:
- n/a
- Publication Date:
- 2021-11-09
- Subjects:
- 2D materials -- defect engineering -- oxygen vacancies concentration -- photocatalysis -- selective CO2 reduction
Solar energy -- Periodicals
Photovoltaic power generation -- Periodicals
Solar energy -- Research -- Periodicals
Photovoltaic power generation -- Research -- Periodicals
Periodicals
333.7923 - Journal URLs:
- http://resolver.library.ualberta.ca/resolver?ctx_enc=info%3Aofi%2Fenc%3AUTF-8&ctx_ver=Z39.88-2004&rfr_id=info%3Asid%2Fualberta.ca%3Aopac&rft.genre=journal&rft.object_id=3710000000966649&rft.issn=2367-198X&rft.eissn=2367-198X&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&url_ctx_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Actx&url_ver=Z39.88-2004 ↗
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http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)2367-198X/issues ↗
http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)2367-198X/issues ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/solr.202100703 ↗
- Languages:
- English
- ISSNs:
- 2367-198X
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- Legaldeposit
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