Exploration of the adsorption capability by doping Pb@ZnFe2O4 nanocomposites (NCs) for decontamination of dye from textile wastewater

Ganesh Jethave; Umesh Fegade; Sanjay Attarde; Sopan Ingle; Mehrorang Ghaedi; Mohammad Mehdi Sabzehmeidani

doi:10.1016/j.heliyon.2019.e02412

Exploration of the adsorption capability by doping Pb@ZnFe₂O₄ nanocomposites (NCs) for decontamination of dye from textile wastewater

Heliyon. 2019 Sep 19;5(9):e02412. doi: 10.1016/j.heliyon.2019.e02412. eCollection 2019 Sep.

Authors

Ganesh Jethave¹, Umesh Fegade², Sanjay Attarde¹, Sopan Ingle¹, Mehrorang Ghaedi³, Mohammad Mehdi Sabzehmeidani⁴

Affiliations

¹ School of Environmental and Earth Sciences, KBC North Maharashtra University, Jalgaon, MS, India.
² Bhusawal Arts, Science and P. O. Nahata Commerce College, Bhusawal, MS, India.
³ Chemistry Department, Yasouj University, Yasouj, Iran.
⁴ Chemical Engineering Department, Yasouj University, Yasouj, Iran.

Abstract

In the present research article we explore the synthesis method and adsorption capability of ZnFe oxides nanocomposites by using Pb as dopant. A conventional and simple batch adsorption method is selected and optimized. Pb@ZnFe₂O₄ NCs were fabricated by facile method i.e. co-precipitation method and characterized by FESEM, XRD, IR, EDX. The removal of dye has monitored by UV method. An outstanding result is obtained as adsorption efficiency of 1042 mg g^-1 shows more significant performance than currently available bench-mark adsorbents. The optimized parameters pH 7.1, Adsorbent Mass: 50 mg, Initial Dye Concentration: 150 mg/l and Agitation Time: 90 min results in 96.49 % removal of CR (Congo red) dye. A CCD (central composite design) is applied to evaluate the role of adsorption variables. Based on its excellent performance, cost effectiveness, facile fabrication and large surface area, the Pb@ZnFe₂O₄ has considerable potential for the manufacture of cost effective and efficient adsorbents for environmental applications.

Keywords: Adsorption mechanism; Congo red dye; Environmental science; Isotherms; Pb@ZnFe2O4; Statistical model.