Hierarchical Carbon Nanocage-Enabled Electron Buffering to Indium Oxide for Efficient CO<sub>2</sub> Hydrogenation to Methanol

The hydrogenation of CO<sub>2</sub> to methanol over In<sub>2</sub>O<sub>3</sub>-based catalysts is highly sensitive to the concentration of surface oxygen vacancies (O<sub>v</sub>). While increasing the O<sub>v</sub> concentration can enhance the catalytic performance, it also increases the risk of over-reduction during CO<sub>2</sub> hydrogenation, leading to a trade-off between activity and stability. Here, we demonstrate that hierarchical carbon nanocages (hCNCs) act as effective "electron buffering agents" for In<sub>2</sub>O<sub>3</sub>, mitigating this trade-off and thereby enhancing the methanol yield, with nitrogen doping of hCNCs further amplifying this effect. Detailed investigations reveal that hCNCs donate electrons to O<sub>v</sub>-deficient In<sub>2</sub>O<sub>3</sub> to promote O<sub>v</sub> formation, while also extracting electrons from O<sub>v</sub>-rich In<sub>2</sub>O<sub>3-<i>x</i></sub>, preventing over-reduction to metallic In. As a result, In<sub>2</sub>O<sub>3</sub> supported on hCNCs maintains a consistently high O<sub>v</sub> concentration, enhancing both the catalytic activity and stability. This work highlights the promising potential of hCNCs in the hydrogenation of CO<sub>2</sub> to methanol and stimulates interest in their exploitation for other redox catalytic processes.

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Publication Details

Journal
ACS Applied Materials & Interfaces
Published
2025-05-26
DOI
https://doi.org/10.1021/acsami.5c04092
Citations
2
Primary Topic
CO2 Reduction Techniques and Catalysts
Type
article
Field-Weighted Citation Impact
0.73

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article

Hierarchical Carbon Nanocage-Enabled Electron Buffering to Indium Oxide for Efficient CO2 Hydrogenation to Methanol

Zheng Hu, Yuxuan Zhou, Zixuan Sun, Zidi Wang et al.
2 citations
ACS Applied Materials & Interfaces
CO2 Reduction Techniques and Catalysts
0.73
article

Hierarchical Carbon Nanocage-Enabled Electron Buffering to Indium Oxide for Efficient CO2 Hydrogenation to Methanol

Zheng Hu, Yuxuan Zhou, Zixuan Sun, Zidi Wang, Xudong Dong, Kaiqi Nie, Kai Feng, Xingda An, Shuang Liu, Binhang Yan, Zhijie Zhu, Le He, Xiaohong Zhang, Zhijie Chen, Chaoran Li
article en
2 citations

Abstract

The hydrogenation of CO<sub>2</sub> to methanol over In<sub>2</sub>O<sub>3</sub>-based catalysts is highly sensitive to the concentration of surface oxygen vacancies (O<sub>v</sub>). While increasing the O<sub>v</sub> concentration can enhance the catalytic performance, it also increases the risk of over-reduction during CO<sub>2</sub> hydrogenation, leading to a trade-off between activity and stability. Here, we demonstrate that hierarchical carbon nanocages (hCNCs) act as effective "electron buffering agents" for In<sub>2</sub>O<sub>3</sub>, mitigating this trade-off and thereby enhancing the methanol yield, with nitrogen doping of hCNCs further amplifying this effect. Detailed investigations reveal that hCNCs donate electrons to O<sub>v</sub>-deficient In<sub>2</sub>O<sub>3</sub> to promote O<sub>v</sub> formation, while also extracting electrons from O<sub>v</sub>-rich In<sub>2</sub>O<sub>3-<i>x</i></sub>, preventing over-reduction to metallic In. As a result, In<sub>2</sub>O<sub>3</sub> supported on hCNCs maintains a consistently high O<sub>v</sub> concentration, enhancing both the catalytic activity and stability. This work highlights the promising potential of hCNCs in the hydrogenation of CO<sub>2</sub> to methanol and stimulates interest in their exploitation for other redox catalytic processes.

ACS Applied Materials & InterfacesVol. 17(22)
Soochow University (CN), Nanjing University (CN), Tsinghua University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Jiangsu Province, Jiangsu Provincial Department of Human Resources and Social Security, Collaborative Innovation Center of Suzhou Nano Science and Technology, National Key Research and Development Program of China
Openalex Percentile: Top 31%
CO2 Reduction Techniques and Catalysts
0.73
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