In this study, response surface methodology (RSM) based on three-variable-five-level central composite rotatable design was used to analyze the effects of combined and individual operating parameters (biomass dose, initial concentration of Cr(VI) and pH) on the Cr(VI) adsorption capacity of dried Bacillus cereus. A quadratic polynomial equation was obtained to predict the adsorbed Cr(VI) amount. Analysis of variance showed that the effect of biomass dose was the key factor in the removal of Cr(VI). The maximum adsorbed Cr(VI) amount (30.93 mg g−1) was found at 165.30 mg L−1, 2.96, and 3.01 g L−1 for initial Cr(VI) concentration, pH, and biosorbent dosage, respectively. The surface chemical functional groups and microstructure of unloaded and Cr(VI)-loaded dried Bacillus cereus were identified by Fourier transform infrared spectroscopy (FTIR) and scanning electron microscopy (SEM), respectively. Besides, the results gained from these studies indicated that Langmuir isotherm and the second-order rate expression were suitable for the removal of Cr(VI) from wastewater. The results revealed RSM was an effective method for optimizing biosorption process, and dried Bacillus cereus had a remarkable performance on the removal of Cr(VI) from wastewater.
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Research Article|
October 20 2015
Investigation of equilibrium and kinetics of Cr(VI) adsorption by dried Bacillus cereus using response surface methodology
Kai Yang;
1School of Civil Engineering, Wuhan University, Wuhan 430072, China
E-mail: yk220220@126.com
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Jing Zhang;
Jing Zhang
1School of Civil Engineering, Wuhan University, Wuhan 430072, China
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Tao Yang;
Tao Yang
1School of Civil Engineering, Wuhan University, Wuhan 430072, China
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Hongyu Wang
Hongyu Wang
1School of Civil Engineering, Wuhan University, Wuhan 430072, China
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Water Sci Technol (2016) 73 (3): 617–627.
Article history
Received:
June 17 2015
Accepted:
October 01 2015
Citation
Kai Yang, Jing Zhang, Tao Yang, Hongyu Wang; Investigation of equilibrium and kinetics of Cr(VI) adsorption by dried Bacillus cereus using response surface methodology. Water Sci Technol 15 February 2016; 73 (3): 617–627. doi: https://doi.org/10.2166/wst.2015.522
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