Artificial intelligence for the removal of benzene, toluene, ethyl benzene and xylene (BTEX) from aqueous solutions using iron nanoparticles

摘要: Magnetic nanosorbents proved to be highly effective in inorganic and organic contaminants removal from aqueous solutions, especially nano zero valent iron (nZVI). The main purpose of this study is investigate the effect using nZVI removing BTEX solutions. standard solution were prepared laboratory. X-ray diffraction (XRD), UV spectrophotometry, SEM analysis used for characterization. effects contact time, initial mixture concentration, adsorbent dose, temperature, pH on amount absorbed investigated. highest efficiency 97% was achieved at a stirring rate 100 rpm, temperature 60°C, 7. minimum time efficient 30 min, while dose compounds 0.22 g/L. Freundlich model best fit experimental data. An artificial neural network (ANN) predict efficiency. Modeling results showed that ANN with average absolute error 0.6272% reliable describing adsorption onto nanoparticles. It estimated cost by under optimal conditions will about 3.5 USD per cubic meter.