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

作者：Ali, Imran^*; Alharbi, Omar M. L.; Alothman, Zeid A.; Badjah, Ahmad Yacine; Alwarthan, Abdulrahman; Basheer, Al Arsh

来源：Journal of Molecular Liquids, 2018, 250: 1-8.

DOI：10.1016/j.molliq.2017.11.163

• Adsorption
• Amido black dye
• Kinetics
• Artificial neural network
• Thermodynamics
• Modelling

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 100 mu g/L; agitation time 25 min, pH 7.0, dose 1.0 g/L and 25 degrees C temperature. The thermodynamic parameters like Delta G degrees, Delta H degrees and Delta S degrees were -8.14, -8.10 and -8.02 kJ/mol at 20, 25 and 30 degrees C temps; -4.32 kJ/mol and -9.30 x 10(-3) kJ/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.

• 出版日期2018-1