The electrochemical carbon dioxide reduction reaction (CORR) to high value-added fuels or chemicals driven by the renewable energy is promising to alleviate global warming. However, the selective CO reduction to C products remains challenge. Cu-based catalyst with the specific Cu and Cu sites is important to generate C products. This work used nitrogen (N) to tune amounts of Cu and Cu sites in CuO catalysts and improve C-product conversion. The controllable Cu/Cu ratio of CuO catalyst from 0.16 to 15.19 was achieved by adjusting the N doping amount using NH/Ar plasma treatment. The major theme of this work was clarifying a volcano curve of the ethylene Faraday efficiency as a function of the Cu/Cu ratio. The optimal Cu/Cu ratio was determined as 0.43 for selective electroreduction CO to ethylene. X-ray spectroscopy and density functional theory (DFT) calculations were employed to elucidate that the strong interaction between N and Cu increased the binding energy of NCu bond and stabilize Cu, resulting in a 92.3% reduction in the potential energy change for *CO-*CO dimerization. This study is inspiring in designing high performance electrocatalysts for CO conversion.
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http://dx.doi.org/10.1016/j.jes.2024.03.012 | DOI Listing |
Chem Sci
December 2024
Department of Applied Chemistry, School of Engineering, University of Toyama Gofuku 3190 Toyama 930-8555 Japan
Direct conversion of CO with renewable H to produce methanol provides a promising way for CO utilization and H storage. Cu/ZnO catalysts are active, but their activities depend on the preparation methods. Here, we reported a facile mechanical grinding method for the fast synthesis of Cu@zeolitic imidazolate framework-8 (ZIF-8) derived Cu/ZnO catalysts applied in CO hydrogenation to methanol.
View Article and Find Full Text PDFACS Appl Mater Interfaces
January 2025
Key Laboratory of Industrial Ecology and Environment Engineering (Ministry of Education), School of Environmental Science and Technology, Dalian University of Technology, Dalian 116024, PR China.
Photocatalytic conversion of carbon dioxide (CO) to fuel provides an ideal pathway to achieving carbon neutrality. One significant hindrance in achieving the reduction of CO to higher energy density multicarbon products (C) was the difficulty in coupling C-C bonds efficiently. Copper (Cu) is considered the most suitable metal catalyst for C-C coupling to form C products in the CO reduction reaction (CORR), but it encounters challenges such as low product selectivity and slow catalytic efficiency.
View Article and Find Full Text PDFNanomaterials (Basel)
December 2024
Ministry of Education Key Laboratory for Non-Equilibrium Synthesis and Modulation of Condensed Matter, Shaanxi Province Key Laboratory of Advanced Functional Materials and Mesoscopic Physics, School of Physics, Xi'an Jiaotong University, Xi'an 710049, China.
Copper-based materials, renowned for their redox versatility and conductivity, have extensive applications in electrochemical sensing. Herein, we construct stable Cu/Cu interfaces within dual-valence copper nanostructures to achieve enhanced sensitivity in glucose sensing. By employing a hydrolysis method to tune Cu/Cu ratios precisely, we achieved an optimal electrochemical interface with heightened stability and reactivity.
View Article and Find Full Text PDFMetabolomics
November 2024
Department of Medical Oncology, Centre Leon Berard, Lyon, France.
Objectives: While some metals have been reported as carcinogens or potential carcinogens, only few modern-standard datasets including a large number of elements are available. The present analysis established a first trace elements spectrum by relating the concentration of metals and trace elements in the serum of sarcoma patients with survival data.
Methods: Patients with sarcoma and controls were retrospectively selected from the International Sarcoma Kindred Study database (ISKS).
Mol Imaging Biol
December 2024
Guangdong Provincial Engineering Research Center of Molecular Imaging, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, Guangdong Province, 519000, China.
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