Mathematical Expression and Prediction of VOCs Adsorption Capacity and Isotherm

Adsorption capacity prediction, which needs to be based on the precise structure-capacity relationship, is important for better adsorbent design. However, the precise adsorption contribution coefficients of pores of different sizes for volatile organic compound (VOC) adsorption remain unclear. Herein, a control variable method is employed as a generative model to realize the numerization of the precise structure-capacity relationship. For the first time, a concise equation is proposed that can predict the adsorption capacities/isotherms of unknown adsorbents through their pore structure parameters. Interestingly, practical VOC adsorption amounts aligned with predicted values obtained by simultaneously considering pore volume (which undergoes volume-filling adsorption) and surface area (which undergoes surface-covering adsorption) as input variables. Derivation of the equation is based on classical adsorption theories and mathematical expression of the precise structure-capacity relationship obtained from actual experimental results. Each parameter in the equation has a specific physical meaning. This unprecedented VOC adsorption capacity/isotherm prediction method provides in-depth insight for accurate quantification of VOC adsorption, with great potential for gas adsorption prediction and guidance in the development of adsorption materials and technologies.

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Institutions

Publication Details

Journal
Journal of the American Chemical Society
Published
2024-11-25
DOI
https://doi.org/10.1021/jacs.4c09609
Citations
7
Primary Topic
Catalytic Processes in Materials Science
Type
article
Field-Weighted Citation Impact
0.82

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article

Mathematical Expression and Prediction of VOCs Adsorption Capacity and Isotherm

Xiaoxiao Duan, Ganggang Li, Wenqing Wu, Jie Cheng et al.
7 citations
Journal of the American Chemical Society
Catalytic Processes in Materials Science
0.82
article

Mathematical Expression and Prediction of VOCs Adsorption Capacity and Isotherm

Xiaoxiao Duan, Ganggang Li, Wenqing Wu, Jie Cheng, Guoxia Jiang, Chi Quan He, Wenshuo Li, Fenglian Zhang, Zhongshen Zhang, Yuan Wang, Zhihao Zhang, Gang Wang, Zeyu Zhao, Zhengping Hao, Jinjun Li, Chunli Wang, Xinxin Wang
article en
7 citations

Abstract

Adsorption capacity prediction, which needs to be based on the precise structure-capacity relationship, is important for better adsorbent design. However, the precise adsorption contribution coefficients of pores of different sizes for volatile organic compound (VOC) adsorption remain unclear. Herein, a control variable method is employed as a generative model to realize the numerization of the precise structure-capacity relationship. For the first time, a concise equation is proposed that can predict the adsorption capacities/isotherms of unknown adsorbents through their pore structure parameters. Interestingly, practical VOC adsorption amounts aligned with predicted values obtained by simultaneously considering pore volume (which undergoes volume-filling adsorption) and surface area (which undergoes surface-covering adsorption) as input variables. Derivation of the equation is based on classical adsorption theories and mathematical expression of the precise structure-capacity relationship obtained from actual experimental results. Each parameter in the equation has a specific physical meaning. This unprecedented VOC adsorption capacity/isotherm prediction method provides in-depth insight for accurate quantification of VOC adsorption, with great potential for gas adsorption prediction and guidance in the development of adsorption materials and technologies.

Journal of the American Chemical SocietyVol. 146(49)
Beijing Institute of Fashion Technology (CN), Wuhan University (CN), University of Chinese Academy of Sciences (CN), Xi'an Jiaotong University (CN)
National Natural Science Foundation of China, Youth Innovation Promotion Association of the Chinese Academy of Sciences, National Key Research and Development Program of China, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 25%
Catalytic Processes in Materials Science
0.82
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