Fuzzy logic modeling of Pb (II) sorption onto mesoporous NiO/ZnCl2-Rosa Canina-L seeds activated carbon nanocomposite prepared by ultrasound-assisted co-precipitation technique

Hamedreza Javadian; Maryam Ghasemi; Montserrat Ruiz; Ana Maria Sastre; Seyed Mostafa Hosseini Asl; Mojtaba Masomi

doi:10.1016/j.ultsonch.2017.08.022

Fuzzy logic modeling of Pb (II) sorption onto mesoporous NiO/ZnCl₂-Rosa Canina-L seeds activated carbon nanocomposite prepared by ultrasound-assisted co-precipitation technique

Ultrason Sonochem. 2018 Jan;40(Pt A):748-762. doi: 10.1016/j.ultsonch.2017.08.022. Epub 2017 Aug 24.

Authors

Hamedreza Javadian¹, Maryam Ghasemi², Montserrat Ruiz³, Ana Maria Sastre⁴, Seyed Mostafa Hosseini Asl⁵, Mojtaba Masomi⁵

Affiliations

¹ Universitat Politècnica de Catalunya, Department of Chemical Engineering, ETSEIB, Diagonal 647, 08028 Barcelona, Spain; Young Researchers and Elite Club, Arak Branch, Islamic Azad University, Arak, Iran. Electronic address: Hamedreza.javadian@yahoo.com.
² Young Researchers and Elite Club, Arak Branch, Islamic Azad University, Arak, Iran.
³ Universitat Politècnica de Catalunya, Department of Chemical Engineering, EPSEVG, Av. Víctor Balaguer, s/n, 08800 Vilanova i la Geltrú, Spain.
⁴ Universitat Politècnica de Catalunya, Department of Chemical Engineering, ETSEIB, Diagonal 647, 08028 Barcelona, Spain.
⁵ Ayatollah Amoli Branch, Department of Chemical Engineering, Islamic Azad University, Amol, Iran.

PMID: 28946482
DOI: 10.1016/j.ultsonch.2017.08.022

Abstract

In this study, NiO/Rosa Canina-L seeds activated carbon nanocomposite (NiO/ACNC) was prepared by adding dropwise NaOH solution (2mol/L) to raise the suspension pH to around 9 at room temperature under ultrasonic irradiation (200W) as an efficient method and characterized by FE-SEM, FTIR and N₂ adsorption-desorption isotherm. The effect of different parameters such as contact time (0-120min), initial metal ion concentration (25-200mg/L), temperature (298, 318 and 333K), amount of adsorbent (0.002-0.007g) and the solution's initial pH (1-7) on the adsorption of Pb (II) was investigated in batch-scale experiments. The equilibrium data were well fitted by Langmuir model type 1 (R²>0.99). The maximum monolayer adsorption capacity (q_m) of NiO/ACNC was 1428.57mg/L. Thermodynamic parameters (ΔG°, ΔH° and ΔS°) were also calculated. The results showed that the adsorption of Pb (II) onto NiO/ACNC was feasible, spontaneous and exothermic under studied conditions. In addition, a fuzzy-logic-based model including multiple inputs and one output was developed to predict the removal efficiency of Pb (II) from aqueous solution. Four input variables including pH, contact time (min), dosage (g) and initial concentration of Pb (II) were fuzzified using an artificial intelligence-based approach. The fuzzy subsets consisted of triangular membership functions with eight levels and a total of 26 rules in the IF-THEN approach which was implemented on a Mamdani-type of fuzzy inference system. Fuzzy data exhibited small deviation with satisfactory coefficient of determination (R²>0.98) that clearly proved very good performance of fuzzy-logic-based model in prediction of removal efficiency of Pb (II). It was confirmed that NiO/ACNC had a great potential as a novel adsorbent to remove Pb (II) from aqueous solution.

Keywords: Activated carbon; Adsorption; Fuzzy logic modeling; Kinetic; Nanocomposite; Ultrasound technique.