Application of microalga Chlamydomonas sp. for biosorptive removal of a textile dye from contaminated water: modelling by a neural network.

In this paper biosorption of triphenylmethane dye, C.I. Basic Green 4 (BG4), by Chlamydomonas species was investigated. The results obtained from batch experiments revealed the ability of Chlamydomonas sp. to remove BG4. The effects of operational parameters such as initial dye concentration, temperature, pH, reaction time and algal concentration on biosorptive decolorization efficiency were examined. An artificial neural network model was developed to predict the biosorptive decolorization of BG4 solution. The findings indicated that ANN provided reasonable predictive performance (R2 = 0.979). The influence of each parameter on the response was assessed, initial concentration of the dye being the most significant factor, followed by temperature.