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International Journal of Environment Science and Technology
Center for Environment and Energy Research and Studies (CEERS)
ISSN: 1735-1472
EISSN: 1735-2630
Vol. 12, No. 6, 2015, pp. 2025-2034
Bioline Code: st15188
Full paper language: English
Document type: Research Article
Document available free of charge

International Journal of Environment Science and Technology, Vol. 12, No. 6, 2015, pp. 2025-2034

 en A critical assessment of the use of a surface reaction rate equation to correlate biosorption kinetics
Cho, D. H.; Chu, K. H. & Kim, E. Y.

Abstract

A critical assessment of the use of a variableorder, power-law type surface reaction rate equation to correlate biosorption kinetics is presented. The general nth order rate equation with three adjustable parameters was fit to the kinetic data of lead uptake by inactivated cells of Rhodotorula glutinis check for this species in other resources using a genetic algorithm search method. The uptake process was fast, with apparent equilibrium reached in approximately 30 min. According to the Akaike information criterion test, the three-parameter nth order equation was superior to the much used pseudo second order equation with two fitting parameters. However, the strong fit of the former equation resulted in unrealistic parameter estimates. Parametric sensitivity analysis indicated that the available kinetic data with only limited information content did not allow simultaneous identification of three unknown parameters. As a result, the three-parameter nth order equation was found to be overparameterized with highly correlated parameters. It was, however, possible to retrieve meaningful parameter estimates from the kinetic data when the number of fitting parameters was reduced from 3 to 2.

Keywords
Akaike information criterion; Genetic algorithm; Parameter estimation; Sensitivity analysis

 
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