Synthesis, Characterization, and Adsorption Performance of (Mg <sub>0.4</sub> Co <sub>0.4</sub> Mn <sub>0.2</sub> )Fe <sub>2−2</sub> <i> <sub>x</sub> </i> Sm <i> <sub>x</sub> </i> Sn <i> <sub>x</sub> </i> O <sub>4</sub> Nanoparticles for the Removal

Abstract Water contamination by heavy metal ions poses a significant environmental threat. This study investigates (Mg 0.4 Co 0.4 Mn 0.2 )Fe 2−2 x Sm x Sn x O 4 (0.000 ≤ x ≤ 0.050) ferrite nanoparticles (NPs) as eco‐friendly adsorbents for Cu(II), Cr(III), Fe(III), and Zn(II). X‐ray powder diffraction (XRD) confirmed sample purity, with crystallite size decreasing from 20.28 to 13.31 nm as x increased. Scanning and transmission electron microscopies revealed irregular morphology, whereas energy‐dispersive X‐ray showed successful dopant incorporation into the ferrite lattice. Brunauer–Emmett–Teller analysis indicated a surface area increase from 76.5 to 91.4 m 2 /g with doping. X‐ray photoelectron spectroscopy identified oxidation states, and Fourier transform infrared spectroscopy confirmed the spinel structure. Doping also increased the direct bandgap energy from 3.224 to 3.245 eV and decreased Urbach energy from 0.374 to 0.352 eV. The NPs achieved high removal efficiencies for Cr(III) at 93.3%, Fe(III) at 98.8%, and Zn(II) at 80.6%, though removal of Cu(II) was minimal. The optimal adsorption performance was observed at x = 0.050. Adsorption followed second‐order kinetics and fit the Langmuir isotherm.

Authors

Institutions

Publication Details

Journal
ChemistrySelect
Published
2024-12-01
DOI
https://doi.org/10.1002/slct.202404577
Citations
2
Primary Topic
Adsorption and biosorption for pollutant removal
Type
article
Field-Weighted Citation Impact
0.40
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Synthesis, Characterization, and Adsorption Performance of (Mg 0.4 Co 0.4 Mn 0.2 )Fe 2−2 x Sm x Sn x O 4 Nanoparticles for the Removal

Daoud Naoufal, Amani Aridi, R. Awad, Rédouane Moussa et al.
2 citations
ChemistrySelect
Adsorption and biosorption for pollutant removal
0.40
article

Synthesis, Characterization, and Adsorption Performance of (Mg 0.4 Co 0.4 Mn 0.2 )Fe 2−2 x Sm x Sn x O 4 Nanoparticles for the Removal

Daoud Naoufal, Amani Aridi, R. Awad, Rédouane Moussa, Nour AlHajjar
article en
2 citations

Abstract

Abstract Water contamination by heavy metal ions poses a significant environmental threat. This study investigates (Mg 0.4 Co 0.4 Mn 0.2 )Fe 2−2 x Sm x Sn x O 4 (0.000 ≤ x ≤ 0.050) ferrite nanoparticles (NPs) as eco‐friendly adsorbents for Cu(II), Cr(III), Fe(III), and Zn(II). X‐ray powder diffraction (XRD) confirmed sample purity, with crystallite size decreasing from 20.28 to 13.31 nm as x increased. Scanning and transmission electron microscopies revealed irregular morphology, whereas energy‐dispersive X‐ray showed successful dopant incorporation into the ferrite lattice. Brunauer–Emmett–Teller analysis indicated a surface area increase from 76.5 to 91.4 m 2 /g with doping. X‐ray photoelectron spectroscopy identified oxidation states, and Fourier transform infrared spectroscopy confirmed the spinel structure. Doping also increased the direct bandgap energy from 3.224 to 3.245 eV and decreased Urbach energy from 0.374 to 0.352 eV. The NPs achieved high removal efficiencies for Cr(III) at 93.3%, Fe(III) at 98.8%, and Zn(II) at 80.6%, though removal of Cu(II) was minimal. The optimal adsorption performance was observed at x = 0.050. Adsorption followed second‐order kinetics and fit the Langmuir isotherm.

ChemistrySelectVol. 9(45)
Centre National de la Recherche Scientifique (FR), Pharos University in Alexandria (EG), Lebanese University (LB), Université de Lille (FR), Modern University for Business and Science (LB), Beirut Arab University (LB), Alexandria University (EG)
Clean water and sanitation
Openalex Percentile: Top 37%
Adsorption and biosorption for pollutant removal
0.40
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.