Artificial neural network modelling of amido black dye sorption on iron composite nano material: Kinetics and thermodynamics studies

Abstract

The sorption of amido black dye in water on iron composite nano material is defined in batch process optimizing starting amido black amount, agitation time, pH, nano martial dose, and temp. The sorption results complied with Langmuir, Freundlich, Temkin and Dubinin-Radushkevich facsimilia. The proposed iron composite nano material were suitable for the sorption of amido black in water with determined 88%. The uptake was impulsive and exothermic. The adjusted batch limits were initial concentration 100μg/L; agitation time 25min, pH7.0, dose 1.0g/L and 25°C temperature. The thermodynamic parameters like ΔG°, ΔH° and ΔS° were −8.14, −8.10 and −8.02kJ/mol at 20, 25 and 30°C temps; −4.32kJ/mol and −9.30×10−3kJ/mol K. The pseudo-first-order and liquid-film-diffusion mechanistic of the sorption were projected. The proposed sorption process was quick, ecological responsive and low-priced as may be utilized in normal water conditions. The artificial neural network modelling confirmed the applicability of the developed method. The method was competent to grind at normal water assets pHs with low sorbent amount and agitate time. The sorption process may be practical for the elimination of amido black dye from some water assets at large and low-priced scale.