A Study of Cadmium Removal from Aqueous Solutions by Sunflower Powders and its Modeling Using Artificial Neural Network
Abdoliman Amouei, Ali Akbar Amooey, Fatemeh Asgharzadeh · Iranian Journal Of Health Sciences · 2013
Background and purpose: Cadmium is hazardous and non-biodegradable material entering the food chain.In this paper, the removal of cadmium from aqueous solutions by sunflower powder (the natural biosorbent) was investigated. Materials and Methods:The experiments were performed in a batch system.The effect of parameters such as contact time, pH, cadmium concentration and adsorbent dose were evaluated. Results:The results showed that increasing of pH, contact time and adsorbent dose caused increasing efficiency of removal cadmium from aqueous solutions.The results were modeled using biosorption kinetics and a neural network with four hidden neurons, including bias which was able to predict the concentration dependency of data very accurately.Conclusion: On the basis of the results, could be used from sunflower residues as a cost and efficient biosorbent for treatment of wastewater with Cadmium.The prediction of the artificial neural network model fit the experimental data very precisely. [Amouei A. *Amooey AA. Asgharzadeh F. Study of Cadmium removal from aqueous solutions by sunflower powders and its modeling using artificial neural network. IJHS 2013;