Hagenia abyssinica -Biomediated Synthesis of a Magnetic Fe 3 O 4 /NiO Nanoadsorbent for Adsorption of Lead from Wastewater.
Abdurohman Eshetu FerenjDaniel Manaye KabtamuAyalew H AssenGangaraju GeddaAdem Ali MuhabieMhamed BerradaWubshet Mekonnen GirmaPublished in: ACS omega (2024)
Magnetic nanocomposite adsorbents are cost-effective, environmentally friendly, easy to use, and highly efficient at removing metals from large volumes of wastewater in a short time by using an external magnetic field. In this study, an Fe 3 O 4 /NiO composite nanoadsorbent was prepared by varying the mass percent ratios of NiO (50, 40, 30, 20%), which are denoted Fe 3 O 4 /50%NiO, Fe 3 O 4 /40%NiO, Fe 3 O 4 /30%NiO, and Fe 3 O 4 /20%NiO, respectively, using Hagenia abyssinica plant extract as the template/capping agent and a simple mechanical grinding technique. The nanocomposites were characterized using an X-ray diffractometer (XRD), scanning electron microscopy (SEM), Fourier transform infrared (FT-IR) spectroscopy, nitrogen adsorption, and ζ-potential measurements. The adsorption performance of the nanoadsorbent was assessed for the removal of lead (Pb 2+ ) ions from aqueous solutions. Among the composite adsorbents, Fe 3 O 4 /50%NiO demonstrated the best Pb(II) removal efficiency (96.65%) from aqueous solutions within 80 min at pH 8, at a 100 mg/L lead concentration and 0.09 g of adsorbent dose. However, with the same parameter, only 62.8% of Pb(II) was removed using Fe 3 O 4 nanoparticles (NPs). The adsorptive performance indicated that the optimum amount of porous material (NiO) in the preparation of the Fe 3 O 4 /NiO composite nanoadsorbent, with the aid of H. abyssinica plant extract, enhances the removal of toxic heavy metals from aqueous solutions. Multiple isotherm and kinetic models were used to analyze the equilibrium data. Adsorption isotherm and kinetic studies were found to follow the Freundlich isotherm and pseudo-second-order kinetics, respectively.
Keyphrases
- aqueous solution
- heavy metals
- highly efficient
- electron microscopy
- molecularly imprinted
- high resolution
- computed tomography
- wastewater treatment
- machine learning
- risk assessment
- health risk
- magnetic resonance
- human health
- anaerobic digestion
- molecular dynamics simulations
- solid state
- carbon nanotubes
- dual energy
- drinking water
- reduced graphene oxide
- cell wall