4.4 Article

Misinterpretation of Dubinin-Radushkevich isotherm and its implications on adsorption parameter estimates

Journal

SEPARATION SCIENCE AND TECHNOLOGY
Volume -, Issue -, Pages -

Publisher

TAYLOR & FRANCIS INC
DOI: 10.1080/01496395.2023.2189050

Keywords

Dubinin-radushkevich isotherm; inconsistency; adsorption potential

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The Dubinin-Radushkevich (D-R) isotherm is still widely used in solid/liquid interface adsorption models. However, the adsorption potential (epsilon) is often expressed in a dimensionally inconsistent form, instead of the correct form. Despite being pointed out by Hu and Zhang (2019), the incorrect use of the isotherm continues, with only a few articles referring to the correct form and source of required solubility (C-s) data. Modeling using datasets from three selected references indicates that using the incorrect expression would have variable impact on maximum adsorption capacity estimates, while consistently overestimating the sorption energy.
Dubinin-Radushkevich (D - R) isotherm remains one of the widely used adsorption models in solid/liquid interface. However, adsorption potential (epsilon), as a function of equilibrium concentration (C-e) and solubility (C-s) of adsorbate, is frequently expressed through a dimensionally inconsistent form i.e. epsilon = RT ln (1 +1/C-e), instead of the correct form i.e. epsilon = RT ln (C-s/C-e). Although Hu and Zhang (2019) have pointed out the misinterpretation, incorrect use of isotherm however continues. All of the 10 all-time highly cited articles on D-R isotherm and 80 out of 117 articles citing the work of Hu and Zhang (2019) adopted the incorrect or ambiguous form. Only six research articles have referred source of required C-s data, i.e. literature reported value, approximated to initial adsorbate concentration, or as an additional model parameter. Modeling of D-R isotherm using datasets extracted from three selected references suggests that using the incorrect expression would have a variable impact on maximum adsorption capacity estimates. However, sorption energy would invariably be overestimated (at least 200 times) in all data sets. In the absence of any unified approach and the practical difficulty associated with ascertaining the correct C-s value, researchers are inclined to use the inconsistent model.

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