Synthesis of Aluminum Oxide Nanoparticle Adsorbents from Waste Aluminum Foil and Assesses Their Efficiency in Removing Lead (II) Ions from Water

Aluminum oxide nanoparticles have recently been applied to water treatment as adsorbents by researchers. In this study, aluminum oxide nanoparticles (AlONPs) were synthesized using scrap aluminum foil through a straightforward, inexpensive, and green approach, and their performance in adsorbing lead (II) ions from an aqueous solution was assessed. The synthesized nanoparticles were characterized using Fourier Transform Infrared Spectroscopy (FTIR), X-ray Diffraction (XRD), Transmission Electron Microscopy (TEM), and Scanning Electron Microscopy with Energy-Dispersive X-ray Spectroscopy (SEM-EDX) to analyze their bonding nature, particle size, phase composition, and surface morphology. They exhibited an average particle size of 32.73 nm, consisting predominantly of γ-Al2O3, with small amounts of α-Al2O3 and a minor unknown phase. The lead adsorption efficiency was evaluated under optimized parameters, including pH, contact time, and doses of both adsorbate and adsorbent. The results demonstrated that the AlONPs achieved a 98% removal efficiency within 30 minutes of contact time at a pH of 5.5. Additionally, the Freundlich adsorption isotherm model (R² value of 0.9972) and the pseudo-second-order kinetic model (qe) value of 37.97 mg/g) were shown to fit the lead adsorption process better than other models. Hence, the synthesized AlONPs offer potential as nanoparticle adsorbents for removing lead (II) ions from aqueous solutions.

Authors

Institutions

Publication Details

Journal
Tropical Aquatic and Soil Pollution
Published
2024-11-13
DOI
https://doi.org/10.53623/tasp.v4i2.497
Citations
4
Primary Topic
Adsorption and biosorption for pollutant removal
Type
article
Field-Weighted Citation Impact
0.81
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Synthesis of Aluminum Oxide Nanoparticle Adsorbents from Waste Aluminum Foil and Assesses Their Efficiency in Removing Lead (II) Ions from Water

M. G. Mostafa, Md Aktaruzzaman, S. Salam
4 citations
Tropical Aquatic and Soil Pollution
Adsorption and biosorption for pollutant removal
0.81
article

Synthesis of Aluminum Oxide Nanoparticle Adsorbents from Waste Aluminum Foil and Assesses Their Efficiency in Removing Lead (II) Ions from Water

M. G. Mostafa, Md Aktaruzzaman, S. Salam
article en
4 citations

Abstract

Aluminum oxide nanoparticles have recently been applied to water treatment as adsorbents by researchers. In this study, aluminum oxide nanoparticles (AlONPs) were synthesized using scrap aluminum foil through a straightforward, inexpensive, and green approach, and their performance in adsorbing lead (II) ions from an aqueous solution was assessed. The synthesized nanoparticles were characterized using Fourier Transform Infrared Spectroscopy (FTIR), X-ray Diffraction (XRD), Transmission Electron Microscopy (TEM), and Scanning Electron Microscopy with Energy-Dispersive X-ray Spectroscopy (SEM-EDX) to analyze their bonding nature, particle size, phase composition, and surface morphology. They exhibited an average particle size of 32.73 nm, consisting predominantly of γ-Al2O3, with small amounts of α-Al2O3 and a minor unknown phase. The lead adsorption efficiency was evaluated under optimized parameters, including pH, contact time, and doses of both adsorbate and adsorbent. The results demonstrated that the AlONPs achieved a 98% removal efficiency within 30 minutes of contact time at a pH of 5.5. Additionally, the Freundlich adsorption isotherm model (R² value of 0.9972) and the pseudo-second-order kinetic model (qe) value of 37.97 mg/g) were shown to fit the lead adsorption process better than other models. Hence, the synthesized AlONPs offer potential as nanoparticle adsorbents for removing lead (II) ions from aqueous solutions.

Tropical Aquatic and Soil PollutionVol. 4(2)
University of Rajshahi (BD)
Clean water and sanitation
Openalex Percentile: Top 28%
Adsorption and biosorption for pollutant removal
0.81
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.