Abstract
Many studies have been carried out on the biosorption capacity of different kinds of biomass. However, reports on the kinetic and equilibrium study of the biosorption process are limited. In our experiments, the removal of Cr(VI) from aqueous solution was investigated in a batch system by sorption on the dead cells of Bacillus licheniformis isolated from metal-polluted soils. Equilibrium and kinetic experiments were performed at various initial metal concentrations, pH, contact time, and temperatures. The biomass exhibited the highest Cr(VI) uptake capacity at 50°C, pH 2.5 and with the initial Cr(VI) concentration of 300 mg/g. The Langmuir and Freundlich models were considered to identify the isotherm that could better describe the equilibrium adsorption of Cr(VI) onto biomass. The Langmuir model fitted our experimental data better than the Freundlich model. The suitability of the pseudo first-order and pseudo second-order kinetic models for the sorption of Cr(VI) onto Bacillus licheniformis was also discussed. It is better to apply the pseudo second-kinetic model to describe the sorption system.
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Abbreviations
- b :
-
Langmuir adsorption constant (l/mg)
- C eq :
-
Researchidual metal ion concentration at equilibrium (mg/l)
- C i :
-
Initial metal ion concentration (mg/l)
- K 1ad :
-
First-order adsorption rate constant (1/min)
- K 2ad :
-
Second-order adsorption rate constant (g/mg/ min)
- K F :
-
Freundlich adsorption constant
- m :
-
Biomass dose (g/l)
- n :
-
Freundlich adsorption constant
- Q eq :
-
Adsorbed metal ion quantity per gram of biosorbent at equilibrium (mg/g)
- Q max :
-
The maximum amount of metal ion per unit weight of biomass (mg/g)
- Q t :
-
The amount of metal ions adsorbed at any given time t(mg/g)
- R :
-
Removal efficiency
- R 2 :
-
Correlation coefficient
- R 2L :
-
Correlation coefficient of Langmuir model
- R 2F :
-
Correlation coefficient of Freundlich model
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Zhou, M., Liu, Y., Zeng, G. et al. Kinetic and Equilibrium Studies of Cr(VI) Biosorption by Dead Bacillus licheniformis Biomass. World J Microbiol Biotechnol 23, 43–48 (2007). https://doi.org/10.1007/s11274-006-9191-8
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DOI: https://doi.org/10.1007/s11274-006-9191-8