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In this study, we propose a strategy for preparing solid solution CuO_CeO catalysts derived from Ce-based MOFs for CO preferential oxidation. The support provided by frameworks and the anchoring of amino groups prevent the agglomeration of Cu species during subsequent annealing. Therefore, highly dispersed Cu species are formed, and even some are atomically embedded in the CeO lattice. Notably, 99.5% CO conversion and 58.2% CO selectivity are achieved at a WHSV of 36,000 mL/(h·g) with only 4.41 wt % Cu loading. No decrease in efficiency is observed within 150 h. DFT calculations reveal that the O is favorably adsorbed and activated at oxygen vacancies of Cu-Ce-V, whereas the CO adsorption is localized at Cu ion sites. Highly dispersed Cu species and neighboring oxygen vacancies provide abundant active sites for CO oxidation via the noncompetitive L-H mechanism. This research offers insights for designing efficient non-noble metal catalysts and understanding the reaction mechanism.
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http://dx.doi.org/10.1021/acsami.5c07237 | DOI Listing |
ACS Nano
September 2025
International School of Microelectronics, Dongguan University of Technology, Dongguan 523808, China.
Mimicking human brain functionalities with neuromorphic devices represents a pivotal breakthrough in developing bioinspired electronic systems. The human somatosensory system provides critical environmental information and facilitates responses to harmful stimuli, endowing us with good adaptive capabilities. However, current sensing technologies often struggle with insufficient sensitivity, dynamic response, and integration challenges.
View Article and Find Full Text PDFNano Lett
September 2025
School of Materials and Chemistry, University of Shanghai for Science & Technology, Shanghai 200093, China.
Developing low-temperature gas sensors for parts per billion-level acetone detection in breath analysis remains challenging for non-invasive diabetes monitoring. We implement dual-defect engineering via one-pot synthesis of Al-doped WO nanorod arrays, establishing a W-O-Al catalytic mechanism. Al doping induces lattice strain to boost oxygen vacancy density by 31.
View Article and Find Full Text PDFDiscov Nano
September 2025
Henan Key Laboratory of Diamond Optoelectronic Materials and Devices, Key Laboratory of Integrated Circuit, Ministry of Education, School of Physics, Zhengzhou University, Zhengzhou, 450052, China.
A cost-effective and large-scale method for synthesizing ZnCoO nanoflowers with surface oxygen vacancies as electrode materials for supercapacitors is presented. The existence of oxygen vacancies on the surface of the ZnCoO nanoflowers has been confirmed through X-ray photoelectron spectroscopy (XPS). The energy bands and density of states (DOS) of ZnCoO are examined using density functional theory, revealing that treatment with NaBH reduces the band gap of ZnCoO while increasing the DOS near the Fermi level compared to pristine ZnCoO.
View Article and Find Full Text PDFChem Commun (Camb)
September 2025
State Key Laboratory of New Textile Materials & Advanced Processing Technology, College of Materials Science and Engineering, Wuhan Textile University, Wuhan, 430200, China.
The faradaic efficiency of the electro-synthesis of ammonia using the nitrate reduction reaction (NORR) relies on an electrocatalyst to hydrogenate NO and simultaneously suppress the hydrogen evolution reaction (HER). Due to the formation of a heterostructure, the faradaic efficiency of g-CN/BiO reaches 91.12% at -0.
View Article and Find Full Text PDFJ Am Chem Soc
September 2025
Kathleen Lonsdale Materials Chemistry, Department of Chemistry, University College London, London WC1H 0AJ, U.K.
The exceptional performance of ceria (CeO) in catalysis and energy conversion is fundamentally governed by its defect chemistry, particularly oxygen vacancies. The formation of each oxygen vacancy (V) is assumed to be compensated by two localized electrons on cations (Ce). Here, we show by combining theory with experiment that while this 1 V: 2Ce ratio accounts for the global charge compensation, it does not apply at the local scale, particularly in nanoparticles.
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