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Journal ArticleDOI

Adsorptive removal of thorium from aqueous solution using diglycolamide functionalized multi-walled carbon nanotubes

TLDR
In this paper, the adsorption behavior of the DGA-functionalized-MWCNTs towards thorium from aqueous solution was studied under varying operating conditions of pH, concentration of thorium, diglycolamide (DGA) dosages, contact time, and temperature.
Abstract
Multi-walled carbon nanotubes (MWCNTs) were functionalized with diglycolamide (DGA) through chemical covalent route. The adsorption behavior of the DGA-functionalized-MWCNTs (DGA-MWCNTs) towards thorium from aqueous solution was studied under varying operating conditions of pH, concentration of thorium, DGA-MWCNTs dosages, contact time, and temperature. The effective range of pH for the removal of Th(IV) is 3.0–4.0. Kinetic data followed a pseudo-second-order model. The equilibrium data were correlated with the Langmuir, Freundlich, Dubinin-Radushkevich and Temkin models. The equilibrium data are best fitted with Langmuir model. The equilibrium Th(IV) sorption capacity was estimated to be 10.58 mg g−1 at 298 K. The standard enthalpy, entropy, and free energy of adsorption of the thorium with DGA-MWCNTs were calculated to be 8.952 kJ mol−1, 0.093 kJ mol−1 K−1 and -18.521 kJ mol−1 respectively at 298 K. The determined value of sticking probability (0.072) and observed kinetic and isotherm models reveal the chemical adsorption of thorium on DGA-MWCNTs.

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Sustainable technologies for water purification from heavy metals: review and analysis

TL;DR: The current state-of-the-art of available technologies for water purification are reviewed and their field of application for heavy metal ion removal is discussed, as heavy metal ions are the most harmful and widespread contaminants.
Journal ArticleDOI

Towards high-efficiency sorptive capture of radionuclides in solution and gas

TL;DR: In this paper, the performance of different materials for the sorption of most important radionuclide species including uranium, cobalt, europium, iodine, cesium, strontium, technetium, krypton, xenon, and argon was explored.
Journal ArticleDOI

Novel amidoamine functionalized multi-walled carbon nanotubes for removal of mercury(II) ions from wastewater: Combined experimental and density functional theoretical approach

TL;DR: In this article, Amidoamine functionalized multi-walled carbon nanotubes (MWCNT-AA) have been used as an adsorbent for separating mercury(II) ions from aqueous solution by solid-liquid extraction.
Journal ArticleDOI

Removal, recovery and enrichment of metals from aqueous solutions using carbon nanotubes

TL;DR: In this article, a review of the applications of CNTs in treatment of toxic metal-containing wastewater for environmental monitoring and metals recovery is presented, and the latest research progress of using CNT composites for metal treatment is also discussed.
Journal ArticleDOI

Adsorption characteristics of Th(IV) ions on reduced graphene oxide from aqueous solutions

TL;DR: In this article, the adsorption behavior of reduced graphene oxide (RGO) using thiourea dioxide (TUD) was examined for the adaption of Th(IV) from aqueous solutions.
References
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Journal ArticleDOI

Chemistry of Carbon Nanotubes

TL;DR: Department of Materials Science, University of Patras, Greece, Theoretical and Physical Chemistry Institute, National Hellenic Research Foundation, and Dipartimento di Scienze Farmaceutiche, Universita di Trieste, Piazzale Europa 1, 34127 Triesteadays.
Journal ArticleDOI

Carbon nanotubes as adsorbents in environmental pollution management: A review

TL;DR: Carbon nanotubes (CNTs) have aroused widespread attention as a new type of adsorbents due to their outstanding ability for the removal of various inorganic and organic pollutants, and radionuclides from large volumes of wastewater as discussed by the authors.
Journal ArticleDOI

Adsorption isotherm models for basic dye adsorption by peat in single and binary component systems

TL;DR: An extended Langmuir model has been used to predict the isotherm data for the binary systems using the single component data, and the linear transform model provided the highest R(2) regression coefficient with the Redlich-Peterson model.
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