2019
DOI: 10.1021/acs.langmuir.9b02378
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Prediction of Adsorption Isotherms and Selectivities: Comparison between Classical Density Functional Theory Based on the Perturbed-Chain Statistical Associating Fluid Theory Equation of State and Ideal Adsorbed Solution Theory

Abstract: This study gives an assessment of the predictive capability of classical density functional theory (DFT) for adsorption processes of pure substances and mixtures of spherical and nonspherical molecular species. A Helmholtz energy functional based on the perturbed-chain statistical associating fluid theory (PC-SAFT) is applied to calculate isotherms and selectivities of multicomponent adsorption. In order to unambiguously assess the accuracy of the DFT model, we conduct molecular simulations. Monte Carlo (MC) s… Show more

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Cited by 40 publications
(36 citation statements)
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“…The adsorption of VOCs proceeds initially at random sites; subsequently, monolayers and multilayers of adsorbed VOCs form. This process can be described by Brauner-Emmett-Teller (BET) theory [24]. While this process is identical to the one that occurs on a flat gold surface, the number of adsorbed molecules is significantly higher due to the high surface area of NPG.…”
Section: Sensing Mechanismmentioning
confidence: 96%
“…The adsorption of VOCs proceeds initially at random sites; subsequently, monolayers and multilayers of adsorbed VOCs form. This process can be described by Brauner-Emmett-Teller (BET) theory [24]. While this process is identical to the one that occurs on a flat gold surface, the number of adsorbed molecules is significantly higher due to the high surface area of NPG.…”
Section: Sensing Mechanismmentioning
confidence: 96%
“…Experimentally, the separation of a mixture of two gases is characterized by the ideal adsorbed solution theory (IAST) selectivities as a function of total gas pressure, which are deduced from adsorption isotherms of the individual components. To simulate IAST selectivities, one would typically need to carry out Grand Canonical Monte Carlo simulations [73,74], which are beyond the scope of this work. Here, we attempt to infer qualitative trends on the separation of small hydrocarbons from our static calculations of binding energies.…”
Section: Implications On Hydrocarbon Separationmentioning
confidence: 99%
“…cDFT accurately predicts the adsorption behaviour when compared to GCMC simulations including layering transitions 32 and capillary condensation. 33 The adsorption behaviour of real unordered porous materials, however, is often not well represented by the homogeneous slit pore model with one given pore size. This is because of the ambiguous pore structures with often unknown porosity, chemical composition and pore size distributions.…”
Section: (Gcmc)mentioning
confidence: 99%