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Cited by 266

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Development of sustainable magnetic chitosan biosorbent beads for kinetic remediation of arsenic contaminated water

Ayub, Asif, Raza, Zulfiqar Ali, Majeed, Muhammad Irfan, Tariq, Muhammad Rizwan, Irfan, Ayesha·2020·International Journal of Biological Macromolecules

Abstract

We report the preparation of both control chitosan and magnetic chitosan beads as biosorbents using chitosan as matrix and magnetite (Fe3O4) nanoparticles as reinforcement followed by detailed advanced characterization. The batch trials were performed to study the adsorption kinetics of biosorbents by removing As(III) and As(V) species from water systems. The experimental data was inserted into Langmuir and Freundlich's isotherms to undertake the mechanism and adsorption capacity of the test biosorbents. Under Langmuir's isotherm, maximum monolayer adsorption capacity (qmax) of the biosorbent was observed to be 18.87 and 26.13 mg/g for As(III) and As(V) species, respectively, under specified conditions. The optimum doses of 1.5 and 2 g/L of MCBB at pH 6.7 showed 99.5 and 99% removal of As(V) and As(III), respectively. The analysis demonstrated that the biosorption process obeyed pseudo 2nd order kinetics with linear regression coefficient (R2) of >0.999. The regeneration and reusability of biosorbents was also assessed.

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Metadata

Authors
Ayub, A., Raza, Z. A., Majeed, M. I., Tariq, M. R., & Irfan, A.
Venue
International Journal of Biological Macromolecules
Publisher
Elsevier BV
Published
2020-11
Volume
163
Pages
603-617
ISSN
0141-8130 (ISSN-L)
OpenAlex
W3040044835
Cited by
266
References
1
FWCI
12.52
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Development of sustainable magnetic chitosan biosorbent beads for kinetic remediation of arsenic contaminated water. https://app.cochat.ai/papers/10.1016/j.ijbiomac.2020.06.287
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Ayub, A., Raza, Z. A., Majeed, M. I., Tariq, M. R., & Irfan, A. (2020). Development of sustainable magnetic chitosan biosorbent beads for kinetic remediation of arsenic contaminated water. International Journal of Biological Macromolecules. https://doi.org/10.1016/j.ijbiomac.2020.06.287

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.