Optimization of Adsorption of Congo Red by Corn Cob Powder Using Support Vector Machine

Abstract

Escalating environmental information is compelling waste initiators to bear in mind new alternatives like adsorption for the removal of dye in tinted waste water. Owing to outstanding expenses of commercially activated carbon (CAC), inexpensive adsorbent with high adsorption capacity have achieved growing consideration. The current study offers with exploitation of an inexpensive, waste adsorbent material of corn cob powder and enhancing the situations for removing the Congo red dye from an aqueous solution with the help of central composite design (CCD) experiment. UV-Visible Spectrophotometer is applied to establish the concentration of dye within the waste water. The surface uptake capability (SUC) of corn cob powder will increase when the initial concentration of dye, contact time and temperature becomes increased. The SUC decreases with increase in measure of adsorbent and pH level of the medium. Support Vector Machine (SVM) employing central composite design turned into used at the required mixtures of five self determining factors (dye attention, adsorbent dosage, contact time, pH and temperature). By using these subsequent circumstances, dye concentration 80 mg/L, adsorbent dosage 0.05 g/L, contact time 15 min, pH 7.0 and temperature 300C, we have achieved the maximum level of adsorption capacity as 50.0 mg/g. This research procedure will take long time to analyze and it is prolonged manner. But growing pollutants will motive severe harm to the environment. So it's miles vital to pick out on fastest answer for this problem. In this proposed approach a Support Vector Machine based online solution is achieved for eliminating the Congo red dye from the aqueous solution. The SVM expected SUC is as compared with an experimental result. The accuracy of the proposed SVM Model has been predicted by the simulation result. The study specifies the corn cob powder becomes efficient and also an inexpensive opportunity for removing the Congo red dye.