Precision Pore Structure Optimization of Asphalt-Derived Porous Carbon for Effective Adsorption of Dichloromethane: Molecular Simulation and Experimental Study

The pore size distribution of porous carbon is crucial for efficient dichloromethane (DCM) adsorption. This study employed Grand Canonical Monte Carlo simulations to identify an optimal pore size range of 0.4–1.0 nm for DCM adsorption. Experimentally, microporous carbons were synthesized from asphalt using K2CO3 as an activator, with pore structures tailored by varying activation conditions. The optimized sample achieved a maximum adsorption capacity of 210 mg/g (C0 = 400 ppm, T = 25 °C), demonstrating a strong correlation (R2 = 0.997) between pore volume (<1.0 nm) and adsorption capacity, consistent with simulation predictions. Isotherm and thermodynamic analyses indicated that the adsorption process adhered to the Langmuir and Dubinin–Radushkevich models (R2 > 0.99) and was spontaneous and exothermic. Reusability tests showed 91% of the adsorption capacity retention after five cycles, highlighting the material’s practical potential. These findings provide insights into DCM adsorption mechanisms and guidelines for designing efficient porous carbons.

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Publication Details

Journal
Industrial & Engineering Chemistry Research
Published
2025-01-27
DOI
https://doi.org/10.1021/acs.iecr.4c04434
Citations
3
Primary Topic
Adsorption and biosorption for pollutant removal
Type
article
Field-Weighted Citation Impact
2.45

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article

Precision Pore Structure Optimization of Asphalt-Derived Porous Carbon for Effective Adsorption of Dichloromethane: Molecular Simulation and Experimental Study

Limin Wang, Emmanuel Oluwaseyi Fagbohun, Yanbin Cui, Qianyu Wang et al.
3 citations
Industrial & Engineering Chemistry Research
Adsorption and biosorption for pollutant removal
2.45
article

Precision Pore Structure Optimization of Asphalt-Derived Porous Carbon for Effective Adsorption of Dichloromethane: Molecular Simulation and Experimental Study

Limin Wang, Emmanuel Oluwaseyi Fagbohun, Yanbin Cui, Qianyu Wang, Yuming Zhang, Zhenjiang Guo
article en
3 citations

Abstract

The pore size distribution of porous carbon is crucial for efficient dichloromethane (DCM) adsorption. This study employed Grand Canonical Monte Carlo simulations to identify an optimal pore size range of 0.4–1.0 nm for DCM adsorption. Experimentally, microporous carbons were synthesized from asphalt using K2CO3 as an activator, with pore structures tailored by varying activation conditions. The optimized sample achieved a maximum adsorption capacity of 210 mg/g (C0 = 400 ppm, T = 25 °C), demonstrating a strong correlation (R2 = 0.997) between pore volume (<1.0 nm) and adsorption capacity, consistent with simulation predictions. Isotherm and thermodynamic analyses indicated that the adsorption process adhered to the Langmuir and Dubinin–Radushkevich models (R2 > 0.99) and was spontaneous and exothermic. Reusability tests showed 91% of the adsorption capacity retention after five cycles, highlighting the material’s practical potential. These findings provide insights into DCM adsorption mechanisms and guidelines for designing efficient porous carbons.

Industrial & Engineering Chemistry ResearchVol. 64(5)
New York State Department of Transportation (US), Chinese Academy of Sciences (CN), China University of Petroleum, Beijing (CN), Institute of Process Engineering (CN), Toronto Metropolitan University (CA)
National Natural Science Foundation of China, Science Foundation of China University of Petroleum, Beijing, National Key Research and Development Program of China
Openalex Percentile: Top 13%
Adsorption and biosorption for pollutant removal
2.45
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