Treatment of Aqueous Effluents Containing Phenol by the O3, O3-UV, and O3-H2O2Processes: Experimental Study and Neural Network Modeling

Sugarcane Juice Clarification by Hydrogen Peroxide: Predictions with Artificial Neural Networks

Hydrogen peroxide has been studied as an alternative for sulfur in the white sugar industry. Sulfur has been associated to allergic diseases, mainly asthma. In this study, artificial neural network (ANN) models are proposed to predict the effects of different variables (peroxidation time, temperature, pH, H2O2 dosage, and initial °Brix) on sugarcane juice color removal and sucrose content. Experimental results and the ANN models revealed that temperature showed the greatest influence on the decrease of juice color; nevertheless, the effect of temperature depended on pH: at pH<;5.0 a decrease in juice absorbance was observed at temperatures close to 38 °C, whereas in the pH range of 5.0–6.3, absorbance decreased only at about 50–62 °C, regardless of the amount of hydrogen peroxide used. On the other hand, the remaining sucrose content after peroxidation was influenced by the initial °Brix and by pH.