Two-Electron or Four-Electron Nanocatalysis for Aerobic Glucose Oxidation: A Mechanism-Driven Prediction Model

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.

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Publication Details

Journal
ACS Catalysis
Published
2024-08-15
DOI
https://doi.org/10.1021/acscatal.4c03226
Citations
11
Primary Topic
Advanced Nanomaterials in Catalysis
Type
article
Field-Weighted Citation Impact
1.29

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article

Two-Electron or Four-Electron Nanocatalysis for Aerobic Glucose Oxidation: A Mechanism-Driven Prediction Model

Xingfa Gao, Jia‐Jia Zheng, Qiao-Zhi Li, Xiaoli Wang
11 citations
ACS Catalysis
Advanced Nanomaterials in Catalysis
1.29
article

Two-Electron or Four-Electron Nanocatalysis for Aerobic Glucose Oxidation: A Mechanism-Driven Prediction Model

Xingfa Gao, Jia‐Jia Zheng, Qiao-Zhi Li, Xiaoli Wang
article en
11 citations

Abstract

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.

ACS CatalysisVol. 14(17)
National Center for Nanoscience and Technology (CN), University of Chinese Academy of Sciences (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China
Zero hunger
Openalex Percentile: Top 17%
Advanced Nanomaterials in Catalysis
1.29
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