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Article . 2025 . Peer-reviewed
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Textile wastewater treatment using green sorbent

Authors: Lisichkov, Kiril; Memedi, Hamdije; Atkovska, Katerina; Kuvendziev, Stefan; Jakupi, Shaban; Mustafa, Erhan;

Textile wastewater treatment using green sorbent

Abstract

Wastewater from the textile industry contains large quantities of heavy metal ions such as Cr(VI), Zn(II), Pb(II) and Cd(II). They are often used for the production of color pigments for textile dyes. The free discharge of such waste water into the environment would cause major environmental problems. The presence of toxic Cr(VI) in the aquatic environment has been shown to be one of the major environmental problems. This article reports on the technical applicability of a low-cost green sorbent, nanoporous bentonite, as an adsorbent for the elimination of Cr(VI) ions from textile wastewater. The batch adsorption experiment was carried out to determine the influence of different working parameters (initial metal ion concentration, pH, amount of adsorbent) on the removal efficiency of Cr(VI). The experimental data were interpreted using the first and second order pseudokinetic model.

Country
Croatia
Related Organizations
Keywords

textile wastewater, green adsorbent, adsorption, Cr(VI) ions, nanoporous bentonite

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Published in a Diamond OA journal