Comparative Study between Fava Bean, Physical, and Chemical Activated Carbon Prepared from Fava Bean for Methyl Orange Removal
Abstract: M. orange is one of the anionic azo-dyes that was used in different industries such as textile, paints, and food processing. Discharging of these industries effluents into water ways causes an adverse effect onto environment, ecosystems, and human health. Therefore, this study is focused on M. orange removal with low cost, ecofriendly adsorbent Fava beans peels. Fava bean peels are collected from Egyptian markets, washed, dried, and milled. Additionally, physical and H3PO4 chemically activated carbon was prepared from the peels. After that, different characterization methods such as FT-IR, DLS, SEM are performed for the prepared materials. The prepared materials were optimized to obtain the potent factors levels as pH, dose, and concentration for M. orange highest removal from polluted wastewater. Response Surface Methodology (RSM), Artificial Neural Network (ANN) were applied to model the M. orange removal efficiency by the three different adsorbents. The maximum removal efficiency was achieved using different optimization techniques. Numerical optimization and Moth search algorithm (MSA) was applied to the quadratic model generated from RSM. MSA was applied to ANN to find the optimum removal efficiency. Different isothermal and kinetic models were implemented to identify the type of the adsorption, and to find the maximum amount adsorbed.