Synthesis, characterization and adsorption properties of the new chitosan/natural zeolite composite for the nitrate removal from aqueous solution

Articles in Press

Document Type : Research Paper

Authors

1 Chemical Engineering Department, Faculty of Petroleum and Petrochemical Engineering, Hakim Sabzevari University, Hakim Sabzevari University, Sabzevar, Iran

2 Chemical Engineering Department, Faculty of Petroleum and Petrochemical Engineering, Hakim Sabzevari University, Sabzevar, Iran

Abstract

High concentrations of nitrates in water can have a number of effects on human and aquatic health, therefore, control levels of nitrates are essential. In this work, adsorption of nitrate on beads of chitosan and zeolite composites were investigated. Accord to Transmission Electron Microscopy results, the employed zeolite has clinoptilolite and calcite with 50-870 nm particle size. The association between chitosan and zeolite was also verified by chemical and morphological characterizations. Results showed chitosan/acid modified natural zeolite composite beads (Ch/AMZ) exhibited higher nitrate adsorption than other ones. The adsorption of nitrate on Ch/AMZ as a function of pH, contact time, and bead concentration was optimized by a response surface method using batch experiments. According to the results, at the computed optimum operating conditions the maximum nitrate removal efficiency, 98.2% with Ch/AMZ and adsorption capacity, 22.48 mg g−1 were got. The presented nitrate removal technique with the proposed eco-friendly adsorbent can be considered as a very important approach for removing nitrate from drinking water and the possibility of using it on an industrial scale as a green and economic method for water and wastewater treatment.

Keywords

Main Subjects

Journal of Chemical and Petroleum Engineering

Articles in Press, Accepted Manuscript
Available Online from 11 September 2024

Files

History

  • Receive Date: 24 August 2022
  • Revise Date: 31 August 2024
  • Accept Date: 12 July 2024

Share

How to cite

Statistics