Efficient adsorption of malachite green dye using Artocarpus odoratissimus leaves with artificial neural network modelling

摘要

The utilization of Artocarpus odoratissimus (also locally known as Tarap) leaves (TL) for the removal of malachite green (MG) dye from simulated wastewater was investigated. We demonstrated that it has a high adsorption efficiency with a maximum adsorption capacity of 254.93 mg g(-1). Unlike many reported adsorbents, adsorbent from TL showed little effects upon changes in pH and ionic strength of the medium, supporting their potential to be used in wastewater treatment. The adsorption isotherm of MG by the TL adsorbent was well described by the Redlich-Peterson and Sips isotherm models, and the adsorption kinetics was the pseudo-second order. Thermodynamic quantities of the adsorption process revealed that the adsorption of MG onto TL adsorbent was endothermic, spontaneous, and random. We also showed that the spent TL adsorbent can be well regenerated and reused upon strong base treatment. Artificial neural network model supported the experimental data, and it predicted accurately the effects of some parameters on the adsorption process.