Oxidation of phenol by CWPO method using nickel manganese oxidecatalyst prepared in glycerol solvent using microwave in batch reactor

Clean, safe, unpolluted water is a growing concern. The petrochemical, pharmaceutical, pulp, and paper industries release harmful phenols into water. Therefore, phenol must be removed from polluted water due to its hazardous effects on humans. This study will investigate how phenol can be removed from wastewater by a support nanocomposite catalyst in a batch reactor. By sol-gel technique, nickel and manganese with glycerol were utilized as a solvent and Al(NO3)3 as active material to make the nanocatalyst locally and describe it with FTIR, BET, XRD, TEM, and SEM. A novel catalyst was used for catalytic wet peroxide oxidation (CWPO) of phenol. Catalytic tests were done in the batch reactor with equivalent H2O2. The CWPO process's working conditions include temperature [40 °C, 50 °C, 60 °C, 70 °C], time [60 min, 80 min, 100 min, 120 min], and beginning phenol concentration [200 ppm]. [1, 300, 400, 500 ppm] at 1 atm. The maximum removal is 92.46% at 70 °C, 120 min, and 200 ppm using (Al2O3/NiMnO3) catalyst. In this research, Python programming language was used to build an efficient ANN model to predict the magnitude of this effect. The model results were obtained and the training data were validated using experimental results of the wet catalytic peroxide oxidation process using batch reactor phenol removal. The dataset is classified into three distinct groups based on the variables of temperature, time and concentration. The phenol removal was performed for the performance metric to be predicted by the ANN model. The predicted yield results were found to have a high level of accuracy, with approximately 100% agreement with the actual data. In addition, the regression coefficient (R2 ) was determined to be 0.99.