Synthesis, characterization and application of steel waste-based iron oxide nanoparticles for removal of heavy metals from industrial wastewaters Article Swipe
YOU?
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· 2024
· Open Access
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· DOI: https://doi.org/10.1016/j.heliyon.2024.e28153
Water treatment and reuse can avail more clean and safe water for human use. In this study, iron oxide waste powder generated from the steel pickling process was used to develop iron oxide nanoparticles (IONPs) using solution gelation synthesis process. The powder and developed IONPs were characterized by X-ray fluorescence and diffraction (XRF, XRD), scanning electron microscopy, Fourier-transform infrared spectroscopy, and Brunauer-Emmett-Teller (BET) analyses. Adsorption experiments were carried out on synthetic water with lead and chromium metal ions. The adsorption data were analysed with Langmuir and Freundlich models. Adsorption kinetics were also analysed with Pseudo-First-Order and Pseudo-Second-Order models using non-linear regression. The synthesized IONPs were porous with active surface functional groups of hydroxyl bonds, with BET specific surface area of 325.02 m2/g. XRD results confirmed the cubic spinel structure of IONPs with particle sizes of 20-30 nm. The nanoparticles at a dosage of 0.35 g in 10 mL for 50 min effectively removed Pb(II) and Cr(VI) metal ions up to 99.9% from both synthetic water and industrial wastewater. The adsorption capacity (qmax) of IONPs was found to be 417 and 326.80 for Pb(II) and Cr(VI) respectively. Freundlich isotherm model data fitted best for the removal of both metal ions. The regression values for kinetic models confirmed that pseudo-second-order best fit the adsorption of both Pb(II) and Cr(VI) confirming chemisorption processes. This study contributes to elucidating alternative application of pickling waste from the steel rolling mills for the benefit of heavy metal removal in industrial wastewater.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.heliyon.2024.e28153
- http://www.cell.com/article/S2405844024041847/pdf
- OA Status
- gold
- Cited By
- 13
- References
- 58
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4392859551
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4392859551Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1016/j.heliyon.2024.e28153Digital Object Identifier
- Title
-
Synthesis, characterization and application of steel waste-based iron oxide nanoparticles for removal of heavy metals from industrial wastewatersWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-03-01Full publication date if available
- Authors
-
Tumutungire Mwebembezi, Joel Wakatuntu, Joseph Jjagwe, Christopher Kanyesigye, Robinah Kulabako, Peter Wilberforce OlupotList of authors in order
- Landing page
-
https://doi.org/10.1016/j.heliyon.2024.e28153Publisher landing page
- PDF URL
-
https://www.cell.com/article/S2405844024041847/pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.cell.com/article/S2405844024041847/pdfDirect OA link when available
- Concepts
-
Freundlich equation, Adsorption, Pickling, Metal ions in aqueous solution, Pyrolusite, Langmuir adsorption model, Iron oxide nanoparticles, Nuclear chemistry, BET theory, Chromium, Materials science, Particle size, Fourier transform infrared spectroscopy, Oxide, Chemistry, Iron oxide, Langmuir, Inorganic chemistry, Metal, Chemical engineering, Metallurgy, Organic chemistry, Manganese, Engineering, Physical chemistryTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
13Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 11, 2024: 2Per-year citation counts (last 5 years)
- References (count)
-
58Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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