Nanosized Spinel Ferrites Synthesized by Sol-Gel Autocombustion for Optimized Removal of Azo Dye from Aqueous Solution

Author:

Samoila Petrisor1,Cojocaru Corneliu1,Cretescu Igor2,Stan Catalina Daniela3,Nica Valentin4,Sacarescu Liviu1,Harabagiu Valeria1

Affiliation:

1. “Petru Poni” Institute of Macromolecular Chemistry, Aleea Grigore Ghica Voda 41 A, 700487 Iasi, Romania

2. Department of Environmental Engineering and Management, “Gheorghe Asachi” Technical University of Iasi, 73 Dimitrie Mangeron Street, 700050 Iasi, Romania

3. Department of Drug Industry and Pharmaceutical Biotechnology, “Grigore T. Popa” University of Medicine and Pharmacy, 16 University Street, 700115 Iasi, Romania

4. Faculty of Physics, “Alexandru Ioan Cuza” University, No. 11, Carol I Boulevard, 700506 Iasi, Romania

Abstract

Nanosized spinel ferrites MFe2O4(M = Ni, Co, and Zn) have been prepared by sol-gel autocombustion method using citric acid as a fuel agent. The materials are characterized by X-ray diffraction (XRD), Fourier transform infrared spectroscopy (FTIR), and transmission electron microscopy (TEM). The spinel ferrites have been applied for Congo-Red (CR) dye adsorption using batch technique. Different kinetic and equilibrium models have been fitted by nonlinear regression to analyze the adsorption data. In accordance with Langmuir isotherm, the maximum adsorption capacity at 293 K is 14.06 mg/g for CoFe2O4and 17.13 mg/g for NiFe2O4. The values of mean free energy determined from Dubinin-Radushkevich isotherm are higher than 8 (kJ mol−1), indicating a chemisorption mechanism. Based on the calculated thermodynamic parameters (free energy, enthalpy, and entropy) the adsorption of CR onto ferrites is a spontaneous and endothermic process. Response surface methodology has been applied to construct the multiple regression models for prediction of the adsorption capacity and removal efficiency. The model-based optimization has been performed using genetic algorithms and desirability function approach. The single-objective optimization has yielded a maximum value of color removal efficiency of 98.995%, using NiFe2O4adsorbent. The multiobjective optimization has resulted in the improvement of both removal efficiency and adsorption capacity.

Publisher

Hindawi Limited

Subject

General Materials Science

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