Abstract
This review paper explores cutting-edge approaches in the catalytic oxidation of C1-C4 volatile organic compounds (VOCs), a critical area for environmental protection and industrial processes. The paper examines recent advancements in catalyst design methodologies, emphasizing the crucial relationship between molecular-level engineering and macroscopic material properties. Emerging materials and structures that show promise in enhancing catalytic performance are highlighted, including novel metal-organic frameworks (MOF), hierarchical porous materials, and single-atom catalysts. The growing role of computational techniques in predicting and optimizing catalyst behavior is explored, from density functional theory calculations to machine learning approach. Additionally, the review discusses how innovative characterization methods, such as in situ spectroscopy and advanced microscopy techniques, are driving catalyst development by providing unprecedented insights into reaction mechanisms and active site structures. This comprehensive review aims to provide researchers and industry professionals with a thorough understanding of the current state and future directions in catalytic oxidation of light VOCs, paving the way for more efficient and sustainable catalytic systems.
Original language | English |
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Article number | 115282 |
Journal | Journal of Environmental Chemical Engineering |
Volume | 13 |
Issue number | 1 |
DOIs | |
Publication status | Published - Feb 2025 |
Keywords
- Computational catalysis
- Machine learning
- Novel characterization techniques
- Single-atom catalysts
- Sustainable and green catalysis
ASJC Scopus subject areas
- Chemical Engineering (miscellaneous)
- Waste Management and Disposal
- Pollution
- Process Chemistry and Technology