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The design and development of efficient oxygen reduction reaction (ORR) electrocatalysts have become a key challenge for fuel cells and metal-air batteries. As a cutting-edge field in electrocatalysis, single-atom catalysts have been widely used in ORR due to their maximum atomic utilization and tunable coordination environment. In this study, multinuclear metal clusters were selected as precursors to construct metal nanoparticles and single-atomic metal sites doped carbon materials for electrocatalytic ORR. Specifically, Co-based metal clusters CoO were prepared as precursors and Zn-based zeolitic imidazolate frameworks ZIF-8 were selected as supports. The resulting metal Co-supported nitrogen-doped carbon (Co@NC) materials were obtained by pyrolyzing ZIF-8-CoO hybrids. Both Co nanoparticles and single-atomic Co-N sites were observed on porous NC supports. Porous structures were attributed to the departure of Zn and O at the high-temperature. Co@NC catalyst exhibits a half-wave potential of 0.86 V (vs. reversible hydrogen electrode, vs. RHE) for the ORR measured in a 0.1 M KOH solution. This work provides a new idea for constructing single-atomic catalysts for electrocatalysis using multinuclear metal clusters as active sites.
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http://dx.doi.org/10.1002/chem.202501464 | DOI Listing |
Anal Chem
September 2025
Anhui Key Laboratory of Biomedical Materials and Chemical Measurement, Key Laboratory of Functional Molecular Solids, Ministry of Education, Anhui Key Laboratory of Molecule-Based Materials, College of Chemistry and Materials Science, Anhui Normal University, Wuhu 241002, P.R. China.
Current colorimetric sensing arrays for antioxidant detection often struggle with discrimination due to cross-reactive signals from individual nanozymes. These signals are typically modulated by external factors such as pH or chromogenic substrates, offering limited kinetic and mechanistic diversity. To overcome this, we present a novel triple-channel colorimetric sensing array utilizing two distinct single-atom nanozymes (Cu SA and Fe SA) and one dual-atom nanozyme (CuFe DA).
View Article and Find Full Text PDFEnviron Int
September 2025
Department of Food Safety, Norwegian Institute of Public Health, PO Box 222 Skøyen, N-0213 Oslo, Norway; Centre for Sustainable Diets, Norwegian Institute of Public Health, PO Box 222 Skøyen, N-0213 Oslo, Norway.
J Am Chem Soc
September 2025
Department of Chemistry and Biochemistry, University of South Carolina, Columbia, South Carolina 29208, United States.
Iron homeostasis is essential for the virulence of the opportunistic fungal pathogen . The cytosolic monothiol glutaredoxin GrxD was recently shown to play a critical role in iron metabolism via regulation of iron-sulfur (Fe-S) binding iron-responsive transcription factors and interaction with components of the cytosolic Fe-S cluster assembly pathway. Interestingly, the putative copper-binding metallothionein CmtA was also identified as a binding partner for GrxD; however, the metal-binding properties of both proteins and the nature of their interactions were unclear.
View Article and Find Full Text PDFJ Am Chem Soc
September 2025
School of Materials and Energy, University of Electronic Science and Technology of China, Chengdu 611731, P. R. China.
Supported metal clusters have reactivities that depend on their nuclearity and structure. Herein, we present a strategy for precisely controlling the nuclearity of platinum clusters and demonstrate their size-dependent restructuring behavior and catalytic properties. The clusters are located on isolated CeO nanoislands on high-area SiO, and the isolation facilitates control of the migration of the platinum.
View Article and Find Full Text PDFPhys Chem Chem Phys
September 2025
Institut Charles Gerhardt (ICGM), Univ Montpellier, CNRS, ENSCM, Montpellier, France.
The accurate modeling of solvent dynamics and ionic interactions is of crucial importance for the development of novel electrolytes in next-generation metal-ion batteries. This study presents a critical evaluation of the semi-classical computational approach, the adaptive quantum thermal bath (adQTB) method, as a methodology for capturing the key properties of glyme-based solvents and their Ca-based electrolyte solutions. Simulations reveal that the adQTB method is particularly effective in accurately reproducing vibrational spectra, while offering good transferability across systems and conditions without requiring empirical parameter adjustments.
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