B Te - School of Environmental Engineering, Institute of Engineering, Suranaree University of Technology, Nakhon Ratchasima ۳۰۰۰۰, Thailand
B Wichitsathian - School of Environmental Engineering, Institute of Engineering, Suranaree University of Technology, Nakhon Ratchasima ۳۰۰۰۰, Thailand
C Yossapol - School of Environmental Engineering, Institute of Engineering, Suranaree University of Technology, Nakhon Ratchasima ۳۰۰۰۰, Thailand
W Wonglertarak - School of Environmental Engineering, Institute of Engineering, Suranaree University of Technology, Nakhon Ratchasima ۳۰۰۰۰, Thailand

Mesoporous pellet adsorbent developed from mixing at an appropriate ratio of natural clay,iron oxide, iron powder, and rice bran was used to investigate the optimization process of batch adsorptionparameters for treating aqueous solution coexisting with arsenate and arsenite. Central composite designunder response surface methodology was applied for optimizing and observing both individual andinteractive effects of four main influential adsorption factors such as contact time (24-72 h), initial solutionpH (3-11), adsorbent dosage (0-20 g/L) and initial adsorbate concentration (0.25-4.25 mg/L). Analysisof variance suggested that experimental data were better fitted by the quadratic model with the valuesof regression coefficient and adjusted regression coefficient higher than 95%. The model accuracy wassupported by the correlation plot of actual and predicted adsorption efficiency data and the residual plots.The Pareto analysis suggested that initial solution pH, initial adsorbate concentration, and adsorbent dosagehad greater cumulative effects on the removal system by contributing the percentage effect of 47.69%,37.07% and 14.26%, respectively. The optimum values of contact time, initial solution pH, adsorbentdosage and initial adsorbate concentration were 52 h, 7, 10 g/L and 0.5 mg/L, respectively. The adsorptionefficiency of coexisting arsenate and arsenite solution onto the new developed adsorbent was over 99%under the optimized experimental condition.

Analysis of variance; Arsenic removal; Central composite design; Mesoporous adsorbent; Response surface methodology