Linear and non-linear regression analysis for the sorption kinetics of methylene blue onto activated carbon

Batch kinetic experiments were carried out for the sorption of methylene blue onto activated carbon. The experimental kinetics were fitted to the pseudo first-order and pseudo second-order kinetics by linear and a non-linear method. The five different types of Ho pseudo second-order expression have...

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Bibliographic Details
Published in:Journal of hazardous materials 2006-10, Vol.137 (3), p.1538-1544
Main Author: Kumar, K. Vasanth
Format: Article
Language:English
Subjects:
Activated carbon
Adsorption
Adsorption kinetics
Applied sciences
Carbon - chemistry
Chemical engineering
Exact sciences and technology
Kinetics
Linear method
Methylene blue
Methylene Blue - chemistry
Molecular Structure
Non-linear method
Nonlinear Dynamics
Pollution
Pseudo second-order
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Summary:Batch kinetic experiments were carried out for the sorption of methylene blue onto activated carbon. The experimental kinetics were fitted to the pseudo first-order and pseudo second-order kinetics by linear and a non-linear method. The five different types of Ho pseudo second-order expression have been discussed. A comparison of linear least-squares method and a trial and error non-linear method of estimating the pseudo second-order rate kinetic parameters were examined. The sorption process was found to follow a both pseudo first-order kinetic and pseudo second-order kinetic model. Present investigation showed that it is inappropriate to use a type 1 and type pseudo second-order expressions as proposed by Ho and Blanachard et al. respectively for predicting the kinetic rate constants and the initial sorption rate for the studied system. Three correct possible alternate linear expressions (type 2 to type 4) to better predict the initial sorption rate and kinetic rate constants for the studied system (methylene blue/activated carbon) was proposed. Linear method was found to check only the hypothesis instead of verifying the kinetic model. Non-linear regression method was found to be the more appropriate method to determine the rate kinetic parameters.
ISSN:0304-3894
1873-3336
DOI:10.1016/j.jhazmat.2006.04.036