Uranium removal from aqueous solutions by adsorption on Aleppo pine sawdust, modified by NaOH and neutron irradiation

Menacer, S.; Lounis, A.; Guedioura, B.; Bayou, Naima

doi:10.1080/19443994.2015.1077475

Cited by 12 publications

(5 citation statements)

References 24 publications

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“…The results ( Figure 5) indicated that the maximum uranium removal efficiencies were 89.72% for SDAC and 99.55% for SDACA of an adsorbent dose of 8 mg/mL. That can be reasonably ascribed to the increasing of the adsorbing surface area and the greater availability of adsorption sites [24]. …”

Section: Effect Of Adsorbent Dosementioning

confidence: 55%

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Decontamination of Uranium-Polluted Groundwater by Chemically-Enhanced, Sawdust-Activated Carbon

El‐Magied

Mohammaden

El-Aassy

et al. 2017

Colloids and Interfaces

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Abstract:The preparation of highly efficient and low-cost activated carbon from sawdust was achieved for the treatment of uranium-contaminated groundwater. The adsorption properties of the synthesized activated carbon, as well as their ability to be reused, were assessed. The obtained results demonstrated that sawdust activated carbon (SDAC) and its amine form (SDACA) had high affinity towards uranium ions at pH values of 4.5 and 5 for SDAC and SDACA, respectively. The experimental results showed that the maximum adsorption capacity of uranium was 57.34 and 76.7 mg/g for SDAC and SDACA, respectively. A maximum removal efficiency of 89.72% by SDAC and 99.55% by SDACA were obtained at a solid/liquid ratio of 8 mg/mL. The removal mechanism of uranium by SDAC and SDACA was suggested due to interaction with the amine and carboxylic groups. The validation of the method was verified through uranium separation from synthetic as well as from groundwater collected from water wells in the Wadi Naseib area, Southwestern Sinai, Egypt.

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Section: Effect Of Adsorbent Dosementioning

confidence: 55%

“…Activated carbon is a family member of carbons including carbon blacks, nuclear graphite, carbon fibers, composites, electrode graphite, and more. Any cheap material with a high carbon content and low inorganic can be used as a raw material for the production of activated carbon [14][15][16][17][18][19][20][21][22][23][24].…”

Section: Introductionmentioning

confidence: 99%

Decontamination of Uranium-Polluted Groundwater by Chemically-Enhanced, Sawdust-Activated Carbon

El‐Magied

Mohammaden

El-Aassy

et al. 2017

Colloids and Interfaces

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“…(3) The adsorption mechanism for uranium (VI) by HLW is mainly through the coordination complexation between functional groups (amino and carboxyl) and UO 2 2+ . [31] Coconut shell physical activation 4 60 55.32 [32] Hazelnut shell nitrogen 5.7 20 16.30 [33] sawdust NaOH 5 350 48.66 [34] Poplar leaves unmodified 4 10 2.3 [35] HLW hydrothermal 5 350 423.05 This work (4) HLW provides not only a new idea for the resource utilization of waste leather, but also a reference for extracting uranium from high salinity system.…”

Section: Discussionmentioning

confidence: 99%

Hydrothermal leather waste by hydrothermal method for uranium (VI) removal from a Simulated Saline Solution

Deng

Zhang

Luo

et al. 2018

Applied Organom Chemis

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Hydrothermal leather waste was prepared by hydrothermal method, using leather waste as the precondition and applying the adsorption of uranium (VI) in solution. The effects of pH value, adsorption time and initial concentration of uranium (VI) on the adsorption efficiency were investigated. The adsorption process was in accordance with the pseudo‐second‐order kinetic model and Freundlich adsorption isotherm model. Kinetic and thermodynamic studies showed that the adsorption process was endothermic and spontaneous, and it reached adsorption equilibrium in 240 min. In the simulated high salinity environment, the adsorbent exhibited excellent adsorption rate on the trace of uranium (VI). The adsorbent was characterized by scanning electron microscopy, flourier transform infrared spectroscopy and X‐ray photoelectron spectroscopy, and it was found that the adsorption mechanism was coordinated complex.

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“…Where for pH values between 3 and 5, the species present in aqueous solution are mono-and polynuclear hydroxyl complexes such due to the phenomena of hydrolysis as [UO 2 (OH)] + , [(UO 2 ) 2 (OH) 2 ] 2+ , [(UO 2 ) 3 (OH) 4 ] 2+ and [(UO 2 ) 3 (OH) 5 ] + [60]. For pH values between 5 and 6 (slightly acidic to neutral solution), the species [(UO 2 ) 3 (OH) 5 ] + and [(UO 2 ) 4 (OH) 7 ] + become the majority species which are easy for the sorption process due to their charge [61].…”

Section: Influence Of the Phmentioning

confidence: 99%

Artificial neural network modeling of the hexavalent uranium sorption onto chemically activated bentonite

Achour

Amokrane

Chegrouche³

et al. 2021

Res Chem Intermed

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This study aims to study the hexavalent uranium U(VI) adsorption onto chemically activated Algerian bentonite BMP-Na in order to guarantee a clean and environmentally friendly method of the elimination of waste in nuclear energy applications. The activation of the bentonite was done chemically using hydrochloric acid HCl and saturated with Na + cations using NaCl solution. The obtained bentonite has been characterized by using various methods such as XRD, SEM-EDX, FTIR, XRF and BET. Those characterizations have shown that the activation of bentonite has led to a significant increase in the surface area of the bentonite from 17.19 to 83.06 m 2 /g, which can improve its efficiency in the adsorption application. After characterization, the activated bentonite was subjected to the U(VI) adsorption application. An artificial neural network (ANN) method was used to model and optimize the U(VI) adsorption. Experiments at various pH levels, different absorbent doses and uranium (VI) initial concentrations were done and then, used to train the ANN network. The network was optimized by measuring the mean square error (MSE) with various numbers of neurons in the hidden layer. The optimal number of neurons on the hidden layer was discovered to be 12 neurons, which provided the highest coefficient of correlation R 2 of 0.991. The ANN model's predictions matched very well with the experimental results. The optimization after modelization has shown that the optimal conditions for uranium adsorption are pH = 5.6, initial concentration of 67 mg/L and adsorbent dose of 5 g/L with a complete adsorption rate within only 6 h. Finally, to determine the relative importance of the various operating inputs, a Garson formula was established and the pH of the solution was found to be the most influential parameter.

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Uranium removal from aqueous solutions by adsorption on Aleppo pine sawdust, modified by NaOH and neutron irradiation

Cited by 12 publications

References 24 publications

Decontamination of Uranium-Polluted Groundwater by Chemically-Enhanced, Sawdust-Activated Carbon

Decontamination of Uranium-Polluted Groundwater by Chemically-Enhanced, Sawdust-Activated Carbon

Hydrothermal leather waste by hydrothermal method for uranium (VI) removal from a Simulated Saline Solution

Artificial neural network modeling of the hexavalent uranium sorption onto chemically activated bentonite

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