Determination and removal of cadmium and lead ions from aqueous solutions using surface-modified chitosan magnetic nanoparticles and flame atomic absorption spectroscopy

Document Type : Original Article

Authors

1 University of Basrah, College of Science, Chemistry Department

2 University of Basrah, College of Science, Chemistry Department - Basrah, Iraq

Abstract
Nanomagnetic chitosan composites (NMCC) adsorbents were synthesized by the hydrothermal method with chitosan, ethylene diamine tetraacetic acid, and 3,3ˊ-diaminobenzidine, and the adsorption efficiencies for the removal of cadmium and lead ions from aqueous solution were investigated. The prepared adsorbents were characterized using FTIR, high-resolution transmission electron microscopy (HRTEM), and energy-dispersive X-ray (EDX). Batch systems were carried out, and different operation parameters, including pH, agitation time, and temperature, were optimized. It was observed that the maximum removal efficiency was obtained at pH 8.0 and 5.0, and with agitation time (6, 3, 1) hr. and (2, 1.5, 1) hr. for Cd2+ and Pb2+, respectively. Langmuir, Freundlich, Dubinin-Radushkevich, and Temkin isotherm models were applied, and the results showed that Langmuir was fitted very well for all adsorption systems. From the linearized Langmuir equation, qmax was 54.64, 81.97, and 344.8 mg g-1 for cadmium ion and 222.2, 344.8, and 714.3 mg g-1 for lead onto Ch@F, Ch@EDTA@F, and Ch@EDTA@Am.@F, respectively. Kinetic models were employed to elucidate the adsorption mechanisms. The pseudo-second-order model demonstrated a good agreement with experimental data for both Cadmium and Lead ions across all adsorbents. Adsorption system results were further evaluated by calculating thermodynamic parameters, including enthalpy, entropy, changes in free energy, and activation energy, Ea.

Graphical Abstract

Determination and removal of cadmium and lead ions from aqueous solutions using surface-modified chitosan magnetic nanoparticles and flame atomic absorption spectroscopy

Keywords


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