Acid Red ۱۱۴ Removal Using a Low-Cost Material: Experimental Study and Statistical Physics Modeling

An eco-friendly and cost-effective biosorbent has been developed for the efficient elimination of acid red ۱۱۴ dye from aqueous media. Batch studies were carried out to determine the effects of various operating parameters, namely the effect of temperature, pH, contact time, and concentration. The Response Surface Methodology (RSM) and the Artificial Neural Network (ANN) are also examined. The quadratic model is the most useful model for describing the adsorption of AR ۱۱۴ dye, with a correlation coefficient of ۰.۹۵۰۶. In addition, the adjusted R۲ for the quadratic model was ۰.۹۰۴۵. Compared to other parameters, AR ۱۱۴ dye concentration is the most important. The adsorption capacity is best at pH=۱۱. The pseudo-first-order describes the kinetic adsorption. The adsorption capacity increases with temperature. Experimental data are well illustrated by Langmuir-Freundlich and Baudu models. The process of AR ۱۱۴ adsorption on bentonite is spontaneous, endothermic, and disordered. The statistical physical model results show that AR ۱۱۴ adsorbs on the surface in a nonparallel orientation. Furthermore, the adsorption energy in the systems is ۳.۰۷ kJ/mol, indicating physical adsorption. The dye's adsorption efficiency fell from ۲۴۴ to ۱۷۳ mg/g after five adsorption/desorption cycles. In summary, this investigation showed that bentonite exhibits great potential as a suitable sorbent in the elimination of AR ۱۱۴ dye from aqueous solutions.

کلیدواژه ها:

Acid red dye ، Bentonite ، Modeling ، Optimization ، Statistic physic