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Cited by 301

The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.

Removal of permethrin pesticide from water by chitosan–zinc oxide nanoparticles composite as an adsorbent

Open access
Moradi Dehaghi, Shahram, Rahmanifar, Bahar, Moradi, Ali Mashinchian, Azar, Parviz Aberoomand·2014·Journal of Saudi Chemical Society

Abstract

Synthesis of chitosan–ZnO nanoparticles (CS–ZnONPs) composite beads was performed by a polymer-based method. The resulting bionanocomposite was characterized by scanning electron microscopy (SEM), X-ray powder diffraction (XRD) spectroscopy and infrared spectroscopy (FT-IR). Adsorption applications for removal of pesticide pollutants were conducted. The optimum conditions, including adsorbent dose, agitating time, initial concentration of pesticide and pH on the adsorption of pesticide by chitosan loaded with zinc oxide nanoparticles beads were investigated. Results showed that 0.5 g of the bionanocomposite, in room temperature and pH 7, could remove 99% of the pesticide from permethrin solution (25 ml, 0.1 mg L−1), using UV spectrophotometer at 272 nm. Then, the application of the adsorbent for pesticide removal was studied in the on-line column. The column was regenerated with NaOH solution (0.1 M) completely, and then reused for adsorption application. The CS–ZnONPs composite beads appear to be the new promising material in water treatment application with 56% regeneration after 3 cycles.

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Metadata

Authors
Moradi Dehaghi, S., Rahmanifar, B., Moradi, A. M., & Azar, P. A.
Venue
Journal of Saudi Chemical Society
Published
2014-09
Volume
18
Issue
4
Pages
348-355
ISSN
1319-6103 (ISSN-L)
OpenAlex
W2072816402
Cited by
301
References
30
FWCI
7.93
Type
journal article
Language
en
Open access
hybrid

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Moradi Dehaghi, S., Rahmanifar, B., Moradi, A. M., & Azar, P. A. (2014). Removal of permethrin pesticide from water by chitosan–zinc oxide nanoparticles composite as an adsorbent. Journal of Saudi Chemical Society. https://doi.org/10.1016/j.jscs.2014.01.004

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

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