Modulating tin phthalocyanine single-atom catalyst anchored onto N and S co-doped graphene-based framework for selective electrochemical reduction of CO2 to formic acid DOI

SK Verma,

Ashish Yadav

International Journal of Hydrogen Energy, Journal Year: 2024, Volume and Issue: 99, P. 241 - 255

Published: Dec. 17, 2024

Language: Английский

Applying hollow octahedron PtNPs/Pd-Cu2O nanozyme and highly conductive AuPtNPs/Ni-Co NCs to colorimetric -electrochemical dual-mode aptasensor for AFB1 detection DOI

Tengfei Yu,

Zhiguang Suo,

Jiaomeng Zhu

et al.

Analytica Chimica Acta, Journal Year: 2025, Volume and Issue: 1338, P. 343609 - 343609

Published: Jan. 1, 2025

Language: Английский

Citations

2

Constructing Favorable Microenvironment on Copper Grain Boundaries for CO2 Electro-conversion to Multicarbon Products DOI

Yan Kong,

Hengpan Yang,

Xinmei Jia

et al.

Nano Letters, Journal Year: 2024, Volume and Issue: 24(30), P. 9345 - 9352

Published: July 16, 2024

The electrochemical CO2 reduction reaction (eCO2RR) to multicarbon chemicals provides a promising avenue for storing renewable energy. Herein, we synthesized small Cu nanoparticles featuring enriched tiny grain boundaries (RGBs-Cu) through spatial confinement and in situ electroreduction. In-situ spectroscopy theoretical calculations demonstrate that small-sized significantly enhance the adsorption of *CO intermediate, owing presence abundant low-coordinated disordered atoms. Furthermore, these boundaries, generated under high current conditions, exhibit excellent stability during eCO2RR process, thereby creating stable *CO-rich microenvironment. This local concentration around catalyst surface can reduce energy barrier C–C coupling increase Faradaic efficiency (FE) products across both neutral alkaline electrolytes. Specifically, developed RGBs-Cu electrocatalyst achieved peak FE 77.3% maintained more than 134 h at constant density −500 mA cm–2.

Language: Английский

Citations

7

Research progress of copper-based catalysts for CO2 electrochemical reduction DOI
Yan Jia,

Weixiu Song,

Zhenli Zhao

et al.

International Journal of Hydrogen Energy, Journal Year: 2024, Volume and Issue: 89, P. 664 - 685

Published: Oct. 1, 2024

Language: Английский

Citations

5

Migration of sulfur regulates products distribution of electrochemical reduction of carbon dioxide DOI
Linfei Zhao,

Zhangfu Yuan,

Hongbiao Dong

et al.

Journal of environmental chemical engineering, Journal Year: 2025, Volume and Issue: unknown, P. 115855 - 115855

Published: Feb. 1, 2025

Language: Английский

Citations

0

“Point-to-Face” conductive network construction boosts CO2 electrochemical reduction to formate DOI
Hao Jiang,

Li-Ming Zhao,

Yuhui Liu

et al.

Journal of Alloys and Compounds, Journal Year: 2025, Volume and Issue: unknown, P. 179303 - 179303

Published: Feb. 1, 2025

Language: Английский

Citations

0

Conversion of CO2(g) to CO(g) via reverse water–gas shift cycle on mixed cerium/praseodymium oxides at 500 °C DOI
Federico J. Pomiro, Gastón G. Fouga,

Agustín E. Tamietti

et al.

Chemical Engineering Journal, Journal Year: 2024, Volume and Issue: 498, P. 155222 - 155222

Published: Aug. 28, 2024

Language: Английский

Citations

3

Customized CO2 electroreduction to methane or ethylene by manipulating *H and *CO adsorption on Cu/CeOx catalysts DOI
Ting‐Hui Yang, Yingbin Zhang, Zichao Huang

et al.

Journal of Materials Chemistry A, Journal Year: 2024, Volume and Issue: 12(31), P. 20115 - 20120

Published: Jan. 1, 2024

We engineered Cu/CeO x and Cu/CuCeO solid solutions, enhancing *H *CO binding in CO 2 RR. boosts coverage via faster water dissociation, while augments adsorption, selectively reducing to CH 4 or C H .

Language: Английский

Citations

2

Dicationic ionic liquid‐grafted UiO‐66 as efficient catalyst for CO2 conversion into cyclocarbonate under cocatalyst‐free and solventless conditions DOI

F.B. Li,

X.-M. Hou,

Ying‐Hua Zhou

et al.

Applied Organometallic Chemistry, Journal Year: 2024, Volume and Issue: 38(11)

Published: July 16, 2024

CO 2 chemical fixation offers a feasible approach for carbon mitigation and high‐value utilization, but it is still challenging to develop an efficient catalyst conversion into cyclic carbonate. Herein, the triethylenediamine‐derived dicationic ionic liquids (DIL‐X, X = Cl, Br, I) were grafted UiO‐66 linkers through self‐assembly of Zr 4+ ions mixed ligands terephthalic acid DIL‐bearing dicarboxylic acid, resulting in UiO‐66‐DIL‐X n , ( designated as molar amount feeding DIL‐X). Their catalytic performance was evaluated by epoxide cycloaddition reaction absence solvent cocatalyst. Among them, UiO‐66‐DIL‐Cl 0.4 exhibited outstanding performance, with chloropropene carbonate yield 92% high selectivity 99% under 0.1 MPa at 110 °C 16 h. Its activity could be ascribed cooperativity among Lewis acidity MOF nodes, enhanced absorption, strong nucleophilicity offered halogen liquid‐modified MOF. Moreover, presented excellent recyclability substrate extension. A potential mechanism epoxide‐CO has been proposed. This work will shed light on rational design functionalized MOFs‐based catalysts CO₂ utilization.

Language: Английский

Citations

2

Harnessing the Potential of Machine Learning to Optimize the Activity of Cu-Based Dual Atom Catalysts for CO2 Reduction Reaction DOI
A. Das, Diptendu Roy, Souvik Manna

et al.

ACS Materials Letters, Journal Year: 2024, Volume and Issue: unknown, P. 5316 - 5324

Published: Nov. 5, 2024

The electrochemical CO2 reduction reaction (CO2RR) paved the way to carbon neutrality while producing value-added chemicals and fuels. While Cu-based catalysts show potential, they suffer from inadequate faradaic efficiency. In this study, we explore Cu(100) surface-based dual atom alloy (DAA) for CO2RR produce C1 C2 products. Three distinct doping patterns involve two identical or different transition metals across 27 candidates. Machine learning (ML) based models were developed with high accuracy predict catalytic activity of unknown catalysts. scaling relation between adsorption energies *CO *CHO is circumvented by regulating local environment preferential doping. integrated DFT+ML approach identifies 14 8 most suitable DAAs product formation, respectively. Feature importance analysis underscores significance valence d-orbital electrons in adsorption. Additionally, PDOS reveals atom-like electronic states doped metals, characterized highly localized d-states.

Language: Английский

Citations

2

Facile enrichment of sulfur-modified copper nanograin boundaries for efficient CO2 electroreduction and Zn-CO2 battery DOI
Junjie Ding,

Lujie Ruan,

Min Zhang

et al.

Separation and Purification Technology, Journal Year: 2024, Volume and Issue: 354, P. 129147 - 129147

Published: Aug. 14, 2024

Language: Английский

Citations

1