A critical review of adsorption isotherm models for aqueous contaminants: Curve characteristics, site energy distribution and common controversies. (1st March 2023)

• Record Type: Journal Article
• Authors: Hu, Qili; Lan, Rui; He, Liru; Liu, Hengyuan; Pei, Xiangjun
• Is Part Of: Journal of environmental management. Volume 329(2023)
• Publication Date: 2023-03-01
• Subjects: Adsorption -- Isotherm model -- Site energy distribution -- Residual plot -- Controversy; Environmental policy -- Periodicals; Environmental management -- Periodicals; Environment -- Periodicals; Ecology -- Periodicals; 363.705
• DOI: 10.1016/j.jenvman.2022.117104
• Languages: English
• ISSNs: 0301-4797

Abstract

Abstract: The quantitative description of the equilibrium data by the isotherm models is an indispensable link in adsorption studies. The previous review papers focus on the underlying assumptions, fitting methods, error functions and practical applications of the isotherm models, usually ignoring their curve characteristics, selection criteria and common controversies. The main contents of this review include: (i) effect of the model parameters on the isotherm curves; (ii) determination of the site energy distribution; (iii) selection criteria of the isotherm models; and (iv) elimination of some common controversies. It is of great significance to reveal the curve characteristics for selecting a proper isotherm model. The site energy distribution is conducive to understanding the physicochemical properties of the adsorbent surface. The complete isotherm is recommended to be correlated with the experimental data. The model parameter q max should be cautiously adopted for comparison of the adsorbent performance. The residual plot can be used to diagnose the fitting quality of the isotherm models further. This review also addresses some common mistakes and controversies and thereby avoids their propagation in future publications. Graphical abstract: Image 1 Highlights: This work reveals the curve types represented by the isotherm models. This work expounds how the model parameters affect the isotherm curves profoundly. This work addresses some controversies and mistakes concerning the isotherm models. Goodness of fit should be evaluated by error functions and residual plot.