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Cleaner Engineering and Technology
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Cleaner Engineering and Technology
Article
License: CC BY NC ND
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Isotherms and kinetic modelling of mycoremediation of hexavalent chromium contaminated wastewater

Authors: Latifa A. Mohamed; Chukwunonso O. Aniagor; Ali Hashem;

Isotherms and kinetic modelling of mycoremediation of hexavalent chromium contaminated wastewater

Abstract

Fungal biomass, Aspergillus terricola, was synthesized and employed for the biosorption of aqueous hexavalent chromium via batch technique. Insight into the nature of the surface chemistry and morphology of the fungal biomass was obtained via infrared spectroscopy (FTIR) and scanning electron microscopy (SEM) analyses, respectively. Also, the effect of selected process variables on the Aspergillus terricola biosorption capacity was elucidated. By employing isotherm and kinetic of varying parametric equations, the study investigated the effect of the number of parameters in a given model equation on their modelling performance. Marczewki-Jaroniec (4-parameter) and Fractal-like Pseudo-first order (3-parameter) model emerged as the best fit for isotherm and kinetics studies, respectively. The finding demonstrated the dependence of modelling accuracy on the inherent number of parameters of a given model. Meanwhile, the result of the mechanistic studies highlighted the superiority of the film diffusion mechanism during the hexavalent chromium biosorption, with a Langmuir maximum adsorption capacity (q max) of 87.3 mg. g-1. Notably, the biosorption efficacy of Aspergillus terricola biomass was succinctly demonstrated in the study.

Keywords

Isotherm, Kinetic, Chromium, TJ807-830, Environmental engineering, TA170-171, Renewable energy sources, Aspergillus terricola, Adsorption

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    19
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    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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citations
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!
19
Top 10%
Average
Top 10%
gold