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Adsorption

Erschienen in:

02.07.2019

Inverse ideal adsorbed solution theory for calculation of single-component adsorption equilibria from mixture isotherms supported by adsorption equilibrium distribution

verfasst von: Friederike Stehmann, Dave Hartig, Stephan Scholl

Erschienen in: Adsorption | Ausgabe 8/2019

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Abstract

Adsorption isotherm data of methanol, ethanol, and dimethyl carbonate were determined via headspace experiments on two activated carbons (RB 4 from CABOT Norit and SC 40 from SilCarbon) at different temperatures. However, dimethyl carbonate (DMC) showed a significant decomposition to methanol and CO₂ during the adsorption experiments. Hence, the measured isotherm data for DMC were always two-component isotherm data assuming CO₂ as non-adsorbing component. Thus, ideal adsorbed solution theory (IAST) was inverted to determine the single-component isotherm of DMC using two-component isotherm data and the known single component isotherm of methanol. The inverse IAST was supported by the calculation of the adsorption equilibrium distribution. This calculation was done with the expectation maximization method and results were used to determine the most probable isotherm equations to initialize the inverse IAST calculation. The methodology was validated for mixtures of methanol and ethanol where both single-component isotherms were known. Finally, single-component isotherms were calculated for DMC on RB 4 and SC 40 at different temperatures.

Vorheriger Artikel Medical oxygen concentrators: a review of progress in air separation technology

Nächster Artikel Analytical solution of non-isothermal two-dimensional general rate model of liquid chromatography

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Titel: Inverse ideal adsorbed solution theory for calculation of single-component adsorption equilibria from mixture isotherms supported by adsorption equilibrium distribution
verfasst von: Friederike Stehmann
Dave Hartig
Stephan Scholl
Publikationsdatum: 02.07.2019
Verlag: Springer US
Erschienen in: Adsorption / Ausgabe 8/2019
Print ISSN: 0929-5607
Elektronische ISSN: 1572-8757
DOI: https://doi.org/10.1007/s10450-019-00136-z

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