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Cr(VI) removal from aqueous solution using green adsorbents in continuous bed column – statistical and GA-ANN hybrid modelling

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TLDR
In this article, a study was performed in fixed bed downflow columns at multiple flow rates, bed depths, and influent concentrations for Cr(VI) elimination using the above green adsorbents.
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This article is published in Chemical Engineering Science.The article was published on 2020-11-23. It has received 39 citations till now.

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Removal of methylene blue from aqueous solution using Lathyrus sativus husk: Adsorption study, MPR and ANN modelling

TL;DR: In this paper, a batch study was conducted to remove toxic methylene blue (MB) dye using untreated (UHLS), and acid-treated husk, i.e., 1 N H2SO4 treated (SHLS) and 1N H3PO 4 treated (PHLS), where the effects of operating parameters like dye concentration, pH, contact time, temperature, and adsorbent dose were investigated.
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A review on adsorptive separation of toxic metals from aquatic system using biochar produced from agro-waste.

TL;DR: An overview of adsorption and various agriculture based adsorbents and its comparison in heavy metal removal is included and almost more than 99% removal of toxic pollutants from aquatic systems were achieved using modified agro-waste materials.
Journal ArticleDOI

A systematic review on adsorptive removal of hexavalent chromium from aqueous solutions: Recent advances

TL;DR: In this article , the performance and applicability of several adsorptive materials for hexavalent chromium (Cr(VI) removal from aqueous media are discussed, along with a detailed analysis of the mechanisms involved.
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Elimination of crystal violet from synthetic medium by adsorption using unmodified and acid-modified eucalyptus leaves with MPR and GA application

TL;DR: In this article, the elimination by batch adsorption method of a primary (cationic) textile dye (Crystal Violet) from the synthetic medium, using raw and acid-modified eucalyptus leaves, was investigated.
References
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Journal ArticleDOI

Associations between criteria air pollutants and asthma.

TL;DR: Asthmatics have been shown to be a sensitive subpopulation relative to several of the criteria pollutants, and are therefore at risk of being exposed to these pollutants.
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A hybrid artificial neural network and particle swarm optimization for prediction of removal of hazardous dye brilliant green from aqueous solution using zinc sulfide nanoparticle loaded on activated carbon

TL;DR: Comparisons according to general criterion confirm the usability of pseudo-second-order kinetic model for explanation of data and higher ability of ANN model compare to the MLR model for prediction of BG adsorption onto ZnS-NP-AC is confirmed.
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Artificial neural network-genetic algorithm based optimization for the adsorption of methylene blue and brilliant green from aqueous solution by graphite oxide nanoparticle.

TL;DR: A three-layer artificial neural network (ANN) model is applicable for accurate prediction of dyes removal percentage from aqueous solution by GO following conduction of 336 experimental data and results show good agreement with experimental data.
Journal ArticleDOI

Fixed-bed adsorption dynamics of Pb (II) adsorption from aqueous solution using nanostructured γ-alumina

TL;DR: In this article, removal of metal ions Pb (II) using nanostructured γ-alumina was investigated in a fixed-bed column, and the experimental data were in good agreement with Thomas and Yoon-Nelson models, but in the case of Adams-Bohart model, low correlation coefficient is observed.
Journal ArticleDOI

Treatment of an industrial effluent by reverse osmosis

TL;DR: In this article, the treatment of tanning wastewater was studied by means of reverse osmosis and ultrafiltration using membranes of polyamide and polysulfone (ultrafiltration).
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