Elimination of lead from multi-component lead-nickel-cadmium solution using hyper-cross-linked polystyrene: Experimental and RSM modeling

Masoumi, Hadiseh; Ghaemi, Ahad; Ghanadzadeh, H.

doi:10.1016/j.jece.2021.106579

Cited by 21 publications

(8 citation statements)

References 67 publications

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“…Regarding Fig. 9 b, the adsorption percentage of AA placed close to the route displayed that the actual results obeyed a specified function, the data distribution trend was desired and the confidence in the obtained data is high 61 . The perturbation diagram assists to contrast the influence of all factors at a determined place in the design space.…”

Section: Resultsmentioning

confidence: 70%

Improving adsorption performance of l-ascorbic acid from aqueous solution using magnetic rice husk as an adsorbent: experimental and RSM modeling

Aslani

Masoumi

Ghanadzadeh

et al. 2023

Sci Rep

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In this research, rice husk (RH) was utilized to prepare a magnetic adsorbent for adsorption of ascorbic acid (AA). The magnetic agent is iron(III) chloride (FeCl3). The impact of acid concentration in the range of 400–800 ppm, adsorbent dosage in the range of 0.5–1 g, and contact time in the range of 10–130 min were studied. The Langmuir model had the highest R2 of 0.9982, 0.9996, and 0.9985 at the temperature of 15, 25, and 35 °C, respectively, and the qmax values in these temperatures have been calculated at 19.157, 31.34, and 38.75 mg/g, respectively. The pseudo-second-order kinetic model had the best agreement with the experimental results. In this kinetic model, the values of q have been measured at 36.496, 45.248, and 49.019 mg/g at the acid concentration of 418, 600, and 718 ppm, respectively. The values of ΔHo and ΔSo were measured 31.972 kJ/mol and 120.253 kJ/mol K, respectively, which proves the endothermic and irregularity nature of the adsorption of AA. Besides, the optimum conditions of the design-expert software have been obtained 486.929 ppm of acid concentration, 0.875 g of the adsorbent dosage, and 105.397 min of the contact time, and the adsorption efficiency in these conditions was determined at 92.94%. The surface area of the RH and modified RH was determined of 98.17 and 120.23 m2/g, respectively, which confirms the high surface area of these two adsorbents.

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Section: Resultsmentioning

confidence: 70%

Improving adsorption performance of l-ascorbic acid from aqueous solution using magnetic rice husk as an adsorbent: experimental and RSM modeling

Aslani

Masoumi

Ghanadzadeh

et al. 2023

Sci Rep

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“…According to the results in Table 7 results, the VIF values are close to unity, so it can be concluded that the factors are orthogonal toward each other. [83]…”

Section: Variance Inflation Factor (Vif) Analysismentioning

confidence: 99%

CO₂ capture by benzene‐based hypercrosslinked polymer adsorbent: Artificial neural network and response surface methodology

2023

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In this research, porous benzene‐based hypercrosslinked polymeric adsorbents with different morphological properties were synthesized through Friedel–Crafts alkylation reaction. The resulting samples were applied for CO2 capture at different operational conditions. Two modelling approaches, including artificial neural network (radial basis function [RBF] and multi layer perceptron [MLP]) and response surface methodology (RSM), were employed to investigate the effect of independent parameters on adsorption capacity. A semi‐empirical quadratic model for adsorption capacity was presented based on RSM‐central composite design technique. Additionally, the optimal structure of RBF was determined with 200 neurons, and the optimal structure of MLP was determined with three hidden layers and 10, 8, and 7 neurons. The modelling results demonstrate the better prediction of MLP and RBF approaches than the RSM method with correlation coefficient values of 0.999, 0.989, and 0.931, respectively. Finally, process optimization was carried out using RSM optimization module and the optimized values of synthesis time, crosslinker ratio (formaldehyde dimethyl acetal [FDA]/benzene), adsorption time, pressure, and temperature were obtained at 10.11 h, 1, 220 s, 9 bar, and 55°C, respectively. The optimum value of CO2 uptake capacity was obtained around 167 (mg/g).

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“…It is noteworthy that characterization methods showed the sorption of Pb(II) as carbonate species. Masoumi et al [61] cited sorption capacities as high as 1.18 mmol Pb g − 1 for hyper-crosslinked polystyrene; however, the sorption was performed in alkaline conditions; this is difficult comparing sorption performances under such different experimental conditions.…”

Section: Sorption Isotherms and Thermodynamic Parametersmentioning

confidence: 99%

Selective lead (II) sorption using aminophosphonate-based sorbents: Effect of amine linker, characterization and sorption performance

Neiber

Galhoum

El‐Sayed

et al. 2022

Chemical Engineering Journal

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Elimination of lead from multi-component lead-nickel-cadmium solution using hyper-cross-linked polystyrene: Experimental and RSM modeling

Cited by 21 publications

References 67 publications

Improving adsorption performance of l-ascorbic acid from aqueous solution using magnetic rice husk as an adsorbent: experimental and RSM modeling

Improving adsorption performance of l-ascorbic acid from aqueous solution using magnetic rice husk as an adsorbent: experimental and RSM modeling

CO₂ capture by benzene‐based hypercrosslinked polymer adsorbent: Artificial neural network and response surface methodology

Selective lead (II) sorption using aminophosphonate-based sorbents: Effect of amine linker, characterization and sorption performance

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Elimination of lead from multi-component lead-nickel-cadmium solution using hyper-cross-linked polystyrene: Experimental and RSM modeling

Cited by 21 publications

References 67 publications

Improving adsorption performance of l-ascorbic acid from aqueous solution using magnetic rice husk as an adsorbent: experimental and RSM modeling

Improving adsorption performance of l-ascorbic acid from aqueous solution using magnetic rice husk as an adsorbent: experimental and RSM modeling

CO2 capture by benzene‐based hypercrosslinked polymer adsorbent: Artificial neural network and response surface methodology

Selective lead (II) sorption using aminophosphonate-based sorbents: Effect of amine linker, characterization and sorption performance

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CO₂ capture by benzene‐based hypercrosslinked polymer adsorbent: Artificial neural network and response surface methodology