Selective Photocatalytic Conversion of CO<sub>2</sub> to Ethanol via Unsaturated Cu–O Domains

Enhancing the selectivity of photocatalytic CO<sub>2</sub> reduction to valuable multicarbon (C<sub>2+</sub>) products remains a significant challenge in green synthetic chemistry. Here, we present a dual-center strategy for metal oxides that boosts the photochemical conversion of CO<sub>2</sub> to ethanol by regulating the coordination number of metal and oxygen sites. Notably, CuO catalysts rich in low-coordinated Cu-O domains have achieved nearly perfect ethanol selectivity (96.9%), extraordinary durability (60 h), and a superior yield rate of 30.5 μmol·g<sup>-1</sup>·h<sup>-1</sup>, surpassing the performance of many existing photocatalysts in water vapor and CO<sub>2</sub>. Density functional theory calculations and operando spectroscopic results provide conclusive evidence that tricoordinated copper (Cu<sub>3c</sub>) increases the coverage of key *CO species, while bicoordinated oxygen (O<sub>2c</sub>) controls the migration of *CO species, thereby effectively reducing the energy requirement for *CO dimerization into *OC-CO intermediates (Δ<i>G</i><sub><i>*</i>OC-CO</sub> = -0.56 eV) in the ethanol pathway. This work offers valuable insights for designing photocatalysts that exhibit improved selectivity for C<sub>2+</sub> fuels.

Authors

Institutions

Publication Details

Journal
ACS Nano
Published
2024-11-22
DOI
https://doi.org/10.1021/acsnano.4c11842
Citations
26
Primary Topic
CO2 Reduction Techniques and Catalysts
Type
article
Field-Weighted Citation Impact
2.66

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Selective Photocatalytic Conversion of CO2 to Ethanol via Unsaturated Cu–O Domains

Qiquan Luo, Yanan Zhou, Mingqi He, Pengxin Yang et al.
26 citations
ACS Nano
CO2 Reduction Techniques and Catalysts
2.66
article

Selective Photocatalytic Conversion of CO2 to Ethanol via Unsaturated Cu–O Domains

Qiquan Luo, Yanan Zhou, Mingqi He, Pengxin Yang, Shan Gao, Kaifu Zhang, Jinlong Yang, Zhuo Jiang, Qiang Wang, Xing Wang
article en
26 citations

Abstract

Enhancing the selectivity of photocatalytic CO<sub>2</sub> reduction to valuable multicarbon (C<sub>2+</sub>) products remains a significant challenge in green synthetic chemistry. Here, we present a dual-center strategy for metal oxides that boosts the photochemical conversion of CO<sub>2</sub> to ethanol by regulating the coordination number of metal and oxygen sites. Notably, CuO catalysts rich in low-coordinated Cu-O domains have achieved nearly perfect ethanol selectivity (96.9%), extraordinary durability (60 h), and a superior yield rate of 30.5 μmol·g<sup>-1</sup>·h<sup>-1</sup>, surpassing the performance of many existing photocatalysts in water vapor and CO<sub>2</sub>. Density functional theory calculations and operando spectroscopic results provide conclusive evidence that tricoordinated copper (Cu<sub>3c</sub>) increases the coverage of key *CO species, while bicoordinated oxygen (O<sub>2c</sub>) controls the migration of *CO species, thereby effectively reducing the energy requirement for *CO dimerization into *OC-CO intermediates (Δ<i>G</i><sub><i>*</i>OC-CO</sub> = -0.56 eV) in the ethanol pathway. This work offers valuable insights for designing photocatalysts that exhibit improved selectivity for C<sub>2+</sub> fuels.

ACS NanoVol. 18(49)
University of Science and Technology of China (CN), Anhui University (CN), Hefei Institutes of Physical Science (CN), Wuhan University (CN), Heilongjiang University (CN)
National Natural Science Foundation of China, Anhui University, Wuhan University, National Key Research and Development Program of China, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 9%
CO2 Reduction Techniques and Catalysts
2.66
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.