Prediction of optimum sorption isotherm: Comparison of linear and non-linear method

Equilibrium parameters for Bismarck brown onto rice husk were estimated by linear least square and a trial and error non-linear method using Freundlich, Langmuir and Redlich–Peterson isotherms. A comparison between linear and non-linear method of estimating the isotherm parameters was reported. The...

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Bibliographic Details
Published in:Journal of hazardous materials 2005-11, Vol.126 (1), p.198-201
Main Authors: Kumar, K. Vasanth, Sivanesan, S.
Format: Article
Language:English
Subjects:
Adsorption
Applied sciences
Azo Compounds - isolation & purification
Bismarck brown
Chemical engineering
Coloring Agents - isolation & purification
Equilibrium
Exact sciences and technology
Industrial Waste - prevention & control
Linear method
Linear Models
Models, Theoretical
Non-linear method
Oryza - metabolism
Pollution
Rice husk
Sorption
Water Pollutants, Chemical - isolation & purification
Water Pollution, Chemical - prevention & control
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Summary:Equilibrium parameters for Bismarck brown onto rice husk were estimated by linear least square and a trial and error non-linear method using Freundlich, Langmuir and Redlich–Peterson isotherms. A comparison between linear and non-linear method of estimating the isotherm parameters was reported. The best fitting isotherm was Langmuir isotherm and Redlich–Peterson isotherm equation. The results show that non-linear method could be a better way to obtain the parameters. Redlich–Peterson isotherm is a special case of Langmuir isotherm when the Redlich–Peterson isotherm constant g was unity.
ISSN:0304-3894
1873-3336
DOI:10.1016/j.jhazmat.2005.06.007