The glucose oxidation reaction (GOR) relies on noble metals (such as Au and Ag) and metal oxides (such as CuO, RuO 2 , and IrO 2 ) as catalysts in a general way. However, these metal-based candidate materials often suffer from a variety of defects, including high cost, complexity of their synthesis method, and damage to the environment. Here, we synthesized ultrathin twodimensional (2D) nanosheets (about 2.041 nm in thickness) that have a large surface area and good electrocatalytic properties for GOR. The destination product was prepared using a one-step solvothermal process involving Co(NO 3 ) 2 • 6H 2 O and p-phthalic acid synthesized in the presence of DMF/C 2 H 5 OH solution. The as-synthesized ultrathin 2D nanosheet Co-MOFs exhibited an electrocatalytic performance for the glucose that was better than that for the shelllike multilayer assemblies Co-MOFs in the alkaline electrolyte, including a higher stability, higher sensitivity, and better activity.

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Owing to their unique porous structure, metal‐organic framework (MOF) nanosheets are considered one of the best active materials for high‐performance electrocatalysts. Ultrathin nanosheet Ni−MOF assemblies, [Ni3(OH)2(C8H4O4)2(H2O)4] ⋅ 2H2O, were synthesized by using a simple solvothermal method and used for efficiently catalyzing ascorbic acid (AA) in a common phosphate buffer solution (PBS, pH=7.2). Electrochemical data analysis revealed good catalytic activity performance and outstanding stability for the AA oxidation reaction. The reason for analyzing its intrinsic may depend on the structure of the ultrathin nanosheet. This structure not only provides a pathway for improving electrocatalytic performance, but its special aggregation state also makes it more stable in electrocatalytic AA.

Employing polytetrafluoroethylene (PTFE)-treated carbon fiber paper (CFP) as the substrate of the gas diffusion layer (GDL) is a common practice to improve water management in proton exchange membrane fuel cells (PEMFCs), but the resulting increase in electrical and thermal resistance is a critical problem that restricts the performance output of PEMFCs. Hence, studying the mechanism and prediction model for both the electrical and thermal conductivity in CFP is essential. This work established a mathematical graph theory model for CFP electrical and thermal conductivity prediction based on the observation and abstraction of the CFP characteristic structures. For the PTFE-treated CFP, the electrical and thermal conductivity of CFP can be effectively increased by optimizing the PTFE distribution in CFP. A "filter net effect" mechanism was proposed to reasonably explain PTFE distribution's influence on the CFP performance. Finally, the equivalent effect of multiple factors on conductivity was revealed using contour maps, which provides inspiration for further reducing the electrical and thermal resistance in CFP.

The catalytic diversity of heme enzymes is a perpetuating pursuit for biomimetic chemistry, but heme nanozymes exhibit catalytic activity only reminiscent of peroxidases. Miraculously, the oxidase-like catalytic function of heme...