Assessment of the adsorption of thorium onto styrene–divinylbenzene-based resin: Optimization using central composite design and thermodynamic parameters

Aslani, Mahmoud A. A.; Celik, Fatih; Yuşan, Sabriye; Aslani, Ceren Kütahyalı

doi:10.1016/j.psep.2017.02.019

Cited by 18 publications

(7 citation statements)

References 47 publications

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“…The interactive influence of the independent variables was investigated and depicted via three-dimensional (3D) response surface plots. The 3D surface plots are very effective at observing complex systems in which two or more variables are significant [31][32][33].…”

Section: Analysis Of Ccdmentioning

confidence: 99%

Comparative Modelling and Artificial Neural Network Inspired Prediction of Waste Generation Rates of Hospitality Industry: The Case of North Cyprus

Azarmi

Oladipo²,

Vaziri³

et al. 2018

Sustainability

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This study was undertaken to forecast the waste generation rates of the accommodation sector in North Cyprus. Three predictor models, multiple linear regression (MLR), artificial neural networks (ANNs) and central composite design (CCD), were applied to predict the waste generation rate during the lean and peak seasons. ANN showed highest prediction performance, specifically, lowest values of the standard error of prediction (SEP = 2.153), mean absolute error (MAE = 1.378) and highest R 2 value (0.998) confirmed the accuracy of the model. The analysed waste was categorised into recyclable, general waste and food residue. The authors estimated the total waste generated during the lean season at 2010.5 kg/day, in which large hotels accounted for the largest fraction (66.7%), followed by medium-sized hotels (19.4%) and guesthouses (2.6%). During the peak season, about 49.6% increases in waste generation rates were obtained. Interestingly, 45% of the waste was generated by British tourists, while the least waste was generated by African tourists (7.5%). The ANN predicted that small and large hotels would produce 5.45 and 22.24 tons of waste by the year 2020, respectively. The findings herein are promising and useful in establishing a sustainable waste management system.

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Section: Analysis Of Ccdmentioning

confidence: 99%

Comparative Modelling and Artificial Neural Network Inspired Prediction of Waste Generation Rates of Hospitality Industry: The Case of North Cyprus

Azarmi

Oladipo²,

Vaziri³

et al. 2018

Sustainability

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“…It also shows that the adsorbed uranyl ions onto the surface of Botryococcus braunii biomass is stable. .K -1 ) suggests a decrease in the randomness at the solid-solution interface during the sorption process (Aslani, Celik, Yusan, & Kutahyali Aslani, 2017).…”

Section: Thermodynamic Resultsmentioning

confidence: 99%

Untitled

Çelik¹,

Aslani²,

Can³

2019

Turk. J. Fish. Aquat. Sci.

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The bioaccumulation of UO 2 2+ (uranyl ion) was investigated by using dry biomass of Botryococcus braunii. Experiments were conducted based on a rotatable central composite design (CCD) and analyzed using response surface methodology (RSM), which was used to optimize the bioaccumulation process. In this goal, the effects of parameters such as initial uranium (VI) concentration, pH, temperature and contact time were studied. The optimum conditions for maximum removal (87%) of UO 2 2+ from an aqueous solution were as follows: initial uranium (VI) concentration (55 mg/l), pH (3.6), temperature (46°C) and contact time (74 min). Langmuir and Freundlich isotherms and also thermodynamic parameters like Enthalpy (∆H°), Entropy (∆S°), standard Gibbs free energy (∆G°) were investigated, as well.

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“…15). A comparative study [48][49][50][51][52][53][54][55] of thorium uptake capacities (mg/g) of different adsorbents is shown in (Table 6).…”

Section: Case Studymentioning

confidence: 99%

Thorium ions recovery using activated carbon modified with triphenyl phosphine oxide: kinetic and equilibrium studies

Yousef

Bakry

2019

SN Appl. Sci.

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Activated carbon (AC) modified with triphenyl phosphine oxide (TPPO) was tested for thorium(IV) adsorption. Different factors affecting the adsorption process such as pH, contact time, modified AC dose, initial thorium concentration, triphenyl phosphine oxide (TPPO) concentration and temperature were investigated to optimize Th(IV) adsorption operating conditions. Kinetic and equilibrium studies of the adsorption process have been studied. The obtained most favorable conditions for Th(IV) adsorption were: pH 3.6, 40 min contact time, 0.5 g modified AC dose, 0.02 M TPPO in toluene and 400 mg/L of thorium concentration at room temperature. The maximum sorption capacity according to Langmuir isotherm reached 71.94 mg/g for modified AC. Adsorption kinetics obeys pseudo-second order kinetic model. Thorium(IV) was efficiently desorbed from the loaded composite using 0.5 M H 2 SO 4 solution. The optimized factors have been carried out to recover thorium(IV) from Abu Rusheid leach liquor, south Eastern Desert, Egypt.

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Assessment of the adsorption of thorium onto styrene–divinylbenzene-based resin: Optimization using central composite design and thermodynamic parameters

Cited by 18 publications

References 47 publications

Comparative Modelling and Artificial Neural Network Inspired Prediction of Waste Generation Rates of Hospitality Industry: The Case of North Cyprus

Comparative Modelling and Artificial Neural Network Inspired Prediction of Waste Generation Rates of Hospitality Industry: The Case of North Cyprus

Untitled

Thorium ions recovery using activated carbon modified with triphenyl phosphine oxide: kinetic and equilibrium studies

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