(360be) Monte Carlo Simulations Predicting Adsorption of 1,4-Dioxane in All-Silica Zeolites
AIChE Annual Meeting
2022
2022 Annual Meeting
Computational Molecular Science and Engineering Forum
Poster Session: Computational Molecular Science and Engineering Forum
Tuesday, November 15, 2022 - 3:30pm to 5:00pm
Separation with nanoporous materials requires high capacity and selectivity to adsorb 1,4-dioxane preferentially and exclude water and its co-contaminants2. We propose to use hydrophobic all-silica zeolites with optimal pore sizes to selectively adsorb 1,4-dioxane from water. The TraPPE united-atom model for 1,4-dioxane3 was validated by reproducing its vapor-liquid equilibrium properties using Gibbs ensemble Monte Carlo simulations, with Self-Adapting Fixed-Endpoint Configurational-Bias Monte Carlo (SAFE-CBMC) to sample the flexible ring configurations of 1,4-dioxane. This model and TraPPE-zeo4 were used to predict 1,4-dioxane adsorption in different zeolite frameworks, investigate the adsorption mechanism, and analyze favorable host-guest interactions into zeolite channels under environmental conditions.
This material is based upon work supported by the National Science Foundation under Grant No. 2138938
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