Hierarchical Co<sub>9</sub>S<sub>8</sub>@In<sub>2.77</sub>S<sub>4</sub> Heterojunction for Efficient Photocatalytic Reduction of CO<sub>2</sub> to Syngas

Photocatalytic reduction of CO<sub>2</sub> to solar fuels is recognized as a promising route to address environmental and energy issues. However, there exist two challenges of insufficient CO<sub>2</sub> activation and fast charge carrier recombination, impeding this conversion. Herein, a hierarchical Co<sub>9</sub>S<sub>8</sub>@In<sub>2.77</sub>S<sub>4</sub> (CoS@InS) heterojunction is developed by the in situ growth of the In<sub>2.77</sub>S<sub>4</sub> nanosheets on the Co<sub>9</sub>S<sub>8</sub> nanotubes for efficient photocatalytic reduction of CO<sub>2</sub> to syngas in an aqueous reaction system with [Ru(bpy)<sub>3</sub>]Cl<sub>2</sub> serving as a photosensitizer and triethanolamine as a sacrificial agent. In addition to the promoted charge separation and transfer, the strong interfacial electric field formed in this heterojunction tunes the p-band center of In active sites toward the Fermi level. Accordingly, the adsorption of the key intermediate *COOH is enhanced, and the energy barrier of *CO desorption is reduced. Besides, the hierarchical hollow structure enhances light utilization and mass transfer, increases the specific surface area, and provides abundant reaction sites. As a result, the hierarchical CoS@InS heterojunction exhibits superior activity. The optimized heterojunction yields CO and H<sub>2</sub> production rates as high as 83,648 and 28,635 μmol g<sup>-1</sup> h<sup>-1</sup>, respectively, with an apparent quantum yield of 5.60% at 450 nm.

Authors

Institutions

Publication Details

Journal
ACS Nano
Published
2025-05-07
DOI
https://doi.org/10.1021/acsnano.5c02971
Citations
27
Primary Topic
Advanced Photocatalysis Techniques
Type
article
Field-Weighted Citation Impact
9.81

Funders

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

Hierarchical Co9S8@In2.77S4 Heterojunction for Efficient Photocatalytic Reduction of CO2 to Syngas

Dingding Ye, Hang Zhao, Hao Song, Zhefei Pan et al.
27 citations
ACS Nano
Advanced Photocatalysis Techniques
9.81
article

Hierarchical Co9S8@In2.77S4 Heterojunction for Efficient Photocatalytic Reduction of CO2 to Syngas

Dingding Ye, Hang Zhao, Hao Song, Zhefei Pan, Hong Wang, Qiang Liao, Rong Chen, Xun Zhu, Yang Yang
article en
27 citations

Abstract

Photocatalytic reduction of CO<sub>2</sub> to solar fuels is recognized as a promising route to address environmental and energy issues. However, there exist two challenges of insufficient CO<sub>2</sub> activation and fast charge carrier recombination, impeding this conversion. Herein, a hierarchical Co<sub>9</sub>S<sub>8</sub>@In<sub>2.77</sub>S<sub>4</sub> (CoS@InS) heterojunction is developed by the in situ growth of the In<sub>2.77</sub>S<sub>4</sub> nanosheets on the Co<sub>9</sub>S<sub>8</sub> nanotubes for efficient photocatalytic reduction of CO<sub>2</sub> to syngas in an aqueous reaction system with [Ru(bpy)<sub>3</sub>]Cl<sub>2</sub> serving as a photosensitizer and triethanolamine as a sacrificial agent. In addition to the promoted charge separation and transfer, the strong interfacial electric field formed in this heterojunction tunes the p-band center of In active sites toward the Fermi level. Accordingly, the adsorption of the key intermediate *COOH is enhanced, and the energy barrier of *CO desorption is reduced. Besides, the hierarchical hollow structure enhances light utilization and mass transfer, increases the specific surface area, and provides abundant reaction sites. As a result, the hierarchical CoS@InS heterojunction exhibits superior activity. The optimized heterojunction yields CO and H<sub>2</sub> production rates as high as 83,648 and 28,635 μmol g<sup>-1</sup> h<sup>-1</sup>, respectively, with an apparent quantum yield of 5.60% at 450 nm.

ACS NanoVol. 19(19)
Chongqing University (CN), Institute of Engineering (NP)
National Natural Science Foundation of China
Openalex Percentile: Top 1%
Advanced Photocatalysis Techniques
9.81
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.