Abstract
• Adsorption of fluoride using resin. • Central composite design based optimization. • Artificial neural network based prediction for removal percentage. • Thermodynamics, isotherm and kinetics study for fluoride removal process. Study was performed to evaluate fluoride removal from water using Amberlite IR400Cl resin. Single parameter study showed increment in removal initially and decline afterward under the influence of pH. Resin dose, contact time and temperature showed positive while fluoride concentration showed negative impact on removal. 76% removal was achieved at pH 7, 15 mg/l fluoride concentration, resin dose 20 g/l, 120-minute contact time and 25 °C temperature. Freundlich isotherm and Pseudo second order reaction model were best fitted to explain spontaneous and endothermic sorption. Interactive effects of operating parameters were investigated by CCD. Optimized CCD model predicted 73% removal at pH 7, 15 mg/l fluoride concentration, resin dose 20 g/l, 60-minute contact time and 25 °C temperature while actual removal was 70.0%. Operating parameters and respective removal were applied to construct ANN model. ANN predicted 72.5% removal for above mentioned conditions. Fluoride attachment on resin was also evident by FTIR.
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