Adsorption isotherm models for dye removal by cationized starch-based material in a single component system: Error analysis

This article describes the adsorption of an anionic dye, namely C.I. Acid Blue 25 (AB 25), from aqueous solutions onto a cationized starch-based adsorbent. Temperature was varied to investigate its effect on the adsorption capacity. Equilibrium adsorption isotherms were measured for the single compo...

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Bibliographic Details
Published in:Journal of hazardous materials 2008-08, Vol.157 (1), p.34-46
Main Authors: Gimbert, Frédéric, Morin-Crini, Nadia, Renault, François, Badot, Pierre-Marie, Crini, Grégorio
Format: Article
Language:English
Subjects:
Acid Blue 25
Adsorption
Applied sciences
Chemical engineering
Chemical Sciences
Coloring Agents - analysis
Error analysis
Exact sciences and technology
Freundlich
Generalized model
Isotherm
Kinetics
Langmuir
Models, Chemical
Pollution
Polymers
Redlich–Peterson
Starch
Starch - chemistry
Tempkin
Thermodynamics
Toth
Water Pollutants, Chemical - analysis
Water Purification - methods
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Summary:This article describes the adsorption of an anionic dye, namely C.I. Acid Blue 25 (AB 25), from aqueous solutions onto a cationized starch-based adsorbent. Temperature was varied to investigate its effect on the adsorption capacity. Equilibrium adsorption isotherms were measured for the single component system and the experimental data were analyzed by using Langmuir, Freundlich, Tempkin, Generalized, Redlich–Peterson, and Toth isotherm equations. Five error functions were used to determine the alternative single component parameters by non-linear regression due to the bias in using the correlation coefficient resulting from linearization. The error analysis showed that, compared with other models, the Langmuir model described best the dye adsorption data. Both linear regression method and non-linear error functions provided the best-fit to experimental data with the Langmuir model.
ISSN:0304-3894
1873-3336
DOI:10.1016/j.jhazmat.2007.12.072