Competitive Adsorption of Methanol–Acetone on Surface Functionalization (−COOH, −OH, −NH2, and −SO3H): Grand Canonical Monte Carlo and Density Functional Theory Simulations
Source abstract
Abstract
The capture and separation properties of surface-functionalized activated carbons (AC–Rs, R= −COOH, −OH, −NH2, and −SO3H) for the methanol–acetone mixture were investigated for the first time by grand canonical Monte Carlo simulation (GCMC) and density functional theory (DFT). The effects of surface functional groups and structural characteristics of AC–Rs on the adsorption and separation behaviors of methanol and acetone were clarified. The surface functional group with strong electron-donating or electron-accepting capacity (i.e., −NH2, −OH, and −SO3H) was a crucial factor for the methanol–acetone capture and separation performance at the lower pressure range, and the accessible surface area was found to be another determinative factor. AC–NH2 with the relatively large accessible surface area (4497 m2/g) exhibited an efficient capture performance for the single component (15.7 mol/kg for methanol and 6.7 mol/kg for acetone) and the highest methanol/acetone selectivity (∼23) at 0.02 kPa. At high pressures, the surface functionalization and available pore volume of AC–Rs played pivotal roles in the adsorptive separation process. This study provided mechanistic insights on how the surface functional groups affected the capture and separation properties of ACs, which would further provide a rational alternative strategy in the preparation and synthesis of ACs for the effective gas mixture separation.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Phase Equilibria and Thermodynamics · Carbon Dioxide Capture Technologies · Catalytic Processes in Materials Science
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Energy Science and Engineering, Central South University, Changsha 410083, Hunan, China
Funding
National Natural Science Foundation of China · Hunan Province
References (68)
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