Abstract
CMK-3 mesoporous carbon was nanocast from SBA-15 silica. The obtained carbon was characterized by nitrogen sorption isotherms, X-ray diffraction and transmission electron microscopy (TEM). The batch adsorption tests were done at constant pH taking into account the initial metal ion concentration, adsorbent mass and temperature. A statistical study using a response surface design method was done to develop a mathematical model to predict copper adsorption on CMK-3 as a function of the mentioned experimental factors. It was found that all these parameters are significant, and copper concentration has the greatest effect on adsorption among them. Moreover, the obtained model proved to be adequate in predicting copper adsorption on CMK-3 and its performance under different experimental conditions.
Highlights
The direct discharge of industrial and domestic wastewater into the environment is responsible for the severe pollution of water sources today
A statistical study using the response surface method was performed for developing a mathematical model to predict copper adsorption on CMK-3 as a function of metal ion concentration, adsorbent mass and temperature
For CMK-3 synthesis, g of SBA-15 powder was added to 1.5 g of sucrose dissolved in 5 mL of water and 0.09 mL of 18 M H2SO4
Summary
The direct discharge of industrial and domestic wastewater into the environment is responsible for the severe pollution of water sources today. OMCs are synthesized by carbon source polymerization in mesoporous silica templates. Adsorbent mass and temperature greatly influence copper removal. A statistical study using the response surface method was performed for developing a mathematical model to predict copper adsorption on CMK-3 as a function of metal ion concentration, adsorbent mass and temperature. This method is a multivariate technique based on a set of mathematical and statistical approaches in order to fit empirical models to the obtained experimental data
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