Effect of Oxygen-containing Functional Groups on the NO<sub>2</sub> Adsorption and Reduction by Activated Carbon: A Density Functional Theory Calculation Study

The activated carbon effectively removes nitrogen dioxide (NO<sub>2</sub>) gas from environmental air, and its adsorption-reduction performance is significantly influenced by surface oxygen-containing functional groups (OFGs). However, the internal mechanisms of different OFGs in the complete reaction processes remain unclear. Based on previous studies and experimental characterization results, this paper selects two typical carbon edge structure models and six different OFGs as fundamental models. Using density functional theory, wave function analysis, and thermodynamic and kinetic analyses, we comprehensively investigate the microscopic reaction pathways of the NO<sub>2</sub> molecule on carbon edge structures modified with OFGs. The results show that most OFGs inhibit NO<sub>2</sub> adsorption and N-O bond cleavage via van der Waals interactions, while their impact on NO desorption is negligible due to localized effects. Thermodynamic and kinetic analyses jointly validated these findings. Importantly, the results highlight that zigzag edge structures exhibit superior reactivity toward NO<sub>2</sub> reduction, suggesting that carbon materials prepared below 400 °C with minimal OFG incorporation are more favorable. This dual-optimization strategy provides practical guidance for enhancing the NO<sub>2</sub> conversion performance, offering a molecular-level foundation for the rational design of advanced carbon-based adsorbents or catalysts.

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Journal
Langmuir
Published
2025-09-18
DOI
https://doi.org/10.1021/acs.langmuir.5c02885
Primary Topic
Catalytic Processes in Materials Science
Type
article
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article

Effect of Oxygen-containing Functional Groups on the NO2 Adsorption and Reduction by Activated Carbon: A Density Functional Theory Calculation Study

Wei Tan, Qian Zhou, Tong Hao, Yajun Li et al.
Langmuir
Catalytic Processes in Materials Science
article

Effect of Oxygen-containing Functional Groups on the NO2 Adsorption and Reduction by Activated Carbon: A Density Functional Theory Calculation Study

Wei Tan, Qian Zhou, Tong Hao, Yajun Li, Jinyuan Jiang, Hongke Qin, Xiaojun Pan, Lei He, Mingyao Liu, Dongni Shi, Haoyang Song
article en

Abstract

The activated carbon effectively removes nitrogen dioxide (NO<sub>2</sub>) gas from environmental air, and its adsorption-reduction performance is significantly influenced by surface oxygen-containing functional groups (OFGs). However, the internal mechanisms of different OFGs in the complete reaction processes remain unclear. Based on previous studies and experimental characterization results, this paper selects two typical carbon edge structure models and six different OFGs as fundamental models. Using density functional theory, wave function analysis, and thermodynamic and kinetic analyses, we comprehensively investigate the microscopic reaction pathways of the NO<sub>2</sub> molecule on carbon edge structures modified with OFGs. The results show that most OFGs inhibit NO<sub>2</sub> adsorption and N-O bond cleavage via van der Waals interactions, while their impact on NO desorption is negligible due to localized effects. Thermodynamic and kinetic analyses jointly validated these findings. Importantly, the results highlight that zigzag edge structures exhibit superior reactivity toward NO<sub>2</sub> reduction, suggesting that carbon materials prepared below 400 °C with minimal OFG incorporation are more favorable. This dual-optimization strategy provides practical guidance for enhancing the NO<sub>2</sub> conversion performance, offering a molecular-level foundation for the rational design of advanced carbon-based adsorbents or catalysts.

LangmuirVol. 41(38)
Central Pollution Control Board (IN), Tianjin University (CN), Nuclear and Radiation Safety Center (CN), Chinese Research Academy of Environmental Sciences (CN), University of Science and Technology Beijing (CN), China National Petroleum Corporation (China) (CN)
Openalex Percentile: Top 81%
Catalytic Processes in Materials Science
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