Removal of phenol red by nanocobalt hydroxide and Modeling with Response Surface Methodology and Artificial Neural Network

In this study Co (OH)2 nanoparticles were synthesized and used for the removal of Phenol redfrom aqueous solutions. Response Surface Methodology (RSM) and Artificial Neural Network (ANN) wereemployed to develop an approach for the evaluation of removal process The effects of process variables whichare pH, biosorbent mass, and Phenol red concentration were investigated through three-levels, three-factorsbox benken design (BBD). Same design was also utilized to obtain a training set for ANN. The results of twomethodologies were compared for their predictive capabilities .The results showed that the ANN model ismuch more accurate in prediction as compared to BBD.

Keywords:

Phenol red , nanocobalt hydroxide , Artificial Neural Network , Response Surface Methodology