纳米材料基催化剂
催化作用
纳米材料
合理设计
化学
动力学
贵金属
纳米技术
材料科学
有机化学
物理
量子力学
作者
Sheng Wang,Qiao-Zhi Li,Jia‐Jia Zheng,Xingfa Gao
标识
DOI:10.1021/acscatal.4c03226
摘要
The nanomaterial-catalyzed oxidation of glucose can produce H2O2 or H2O as the oxygen reduction products. However, the theoretical model predicting the selection between H2O2 and H2O products is still lacking, which limits the rational design of aerobic glucose oxidation nanocatalysts for H2O2-targeted applications in disease diagnoses and therapies. In this work, a mechanism-driven prediction model that can predict whether a nanocatalyst preferably undergoes the 2e-catalysis to produce H2O2 or the 4e-catalysis to produce H2O is developed. The development of the model is first based on the reaction thermodynamics, and then a correction constant is introduced in conjunction with experimental reports to compensate to some extent for the lack of consideration of other influencing factors such as the reaction kinetics. The predictive power of the model is verified by density functional theory investigations on the mechanisms and kinetics of the experimentally reported noble metal nanocatalysts. Using the model, binary alloy nanomaterials, which preferably undergo 2e-catalysis to produce H2O2, have been predicted. This work provides theoretical guidelines for the rational design of aerobic glucose oxidation nanocatalysts capable of producing H2O2 and facilitates their application in H2O2-targeted biomedicine.
科研通智能强力驱动
Strongly Powered by AbleSci AI