Technical Papers
May 13, 2021

Optimization of Arsenic Adsorption by Mill Scale–Derived Magnetite Particles Using Response Surface Methodology

Publication: Journal of Hazardous, Toxic, and Radioactive Waste
Volume 25, Issue 3

Abstract

This study focuses on the optimization and application of mill scale–derived magnetite particles for the adsorptive removal of arsenic (As) from groundwater. The reverse coprecipitation method is applied to synthesize the magnetite from the mill scale, a byproduct of the iron and steel industry. The independent variables (initial As concentration, pH, contact time, and adsorbent size) affecting the adsorption process were optimized by central composite design of the response surface methodology (RSM). The analysis of variance (ANOVA) results showed that all the independent variables significantly influenced the adsorption capacity. ANOVA analysis exhibited a good fit between the experimental values and the quadratic model predictions, thus resulting in R2 of 0.986. The P-value (<0.0001) displayed the significance of the model at 99% level. The P-values for pH, As(V) concentration, particle size, and contact time are determined as <0.0001, <0.0001, 0.0002, and 0.0009, respectively. The experimental optimization of batch adsorption parameters revealed 100% As(V) removal efficiency with pH 7, particle size 75 µm, 120 min contact time, and 550 µg/l initial concentration. At the maximum initial concentration (1,000 µg/l), the arsenic removal efficiency was 78% when the pH, particle size, and the contact time were 5, 45 µm, and 120 min, respectively. The reproducibility of adsorption experiments at higher concentration (1,000 µg/l) under optimal conditions confirmed the adsorption capacity 8.13 ± 0.08 mg/g.

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Acknowledgments

This work was supported by the Brain Pool Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science and ICT (Grant No. 2019H1D3A1A02071191) and was also supported by Mid-Career Researcher Supporting Program funded by NRF (Project No. NRF-2020R1A2C2006769).

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Go to Journal of Hazardous, Toxic, and Radioactive Waste
Journal of Hazardous, Toxic, and Radioactive Waste
Volume 25Issue 3July 2021

History

Received: Oct 21, 2020
Accepted: Mar 11, 2021
Published online: May 13, 2021
Published in print: Jul 1, 2021
Discussion open until: Oct 13, 2021

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Ph.D. Candidate, Dept. of Environmental Engineering, Chungnam National Univ., Yuseong-gu, Daejeon 34134, Republic of Korea. ORCID: https://orcid.org/0000-0001-9403-8365. Email: [email protected]
Ph.D. Lecturer & Researcher/Brain Pool-Program, Dept. of Environmental Engineering, Chungnam National Univ., Yuseong-gu, Daejeon 34134, Republic of Korea. ORCID: https://orcid.org/0000-0002-8038-8193. Email: [email protected]
Young-Gyun Choi [email protected]
Ph.D. Professor, Dept. of Environmental & IT Engineering, Chungnam National Univ., Yuseong-gu, Daejeon 34134, Republic of Korea (corresponding author). Email: [email protected]

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Cited by

  • Arsenic Removal by Adsorbents from Water for Small Communities’ Decentralized Systems: Performance, Characterization, and Effective Parameters, Clean Technologies, 10.3390/cleantechnol5010019, 5, 1, (352-402), (2023).
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  • Enhancing Arsenic Solidification/Stabilisation Efficiency of Metallurgical Slag-Based Green Mining Fill and Its Structure Analysis, Metals, 10.3390/met11091389, 11, 9, (1389), (2021).

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