Ghaderpoori, Mansour and HosseinMahvi, Amir and Azarpira, Hossein and Rasolevandi, Tayebeh (2020) Arsenic selective adsorption using a nanomagnetic ion imprinted polymer: Optimization, equilibrium, and regeneration studies. Journal of Molecular Liquids.
Full text not available from this repository.Abstract
Abstract The present study develops nanomagnetic ion-imprinted polymer, as a novel adsorbent with selective adsorption and regenerate capability, employed for arsenic (As+5) adsorption of effluents. The response surface methodology using R software was selected to determine the combined effect of independent input factors and dependent output response. The higher correlation coefficient (R2), lower P-value, insignificant lack of fit, and lower AIC illustrated which reduced full second-order model has highly significant for As5+ adsorption. The predicted optimal conditions by model for the maximum removal efficiency (97.46%) were achieved under the optimal conditions (pH = 5.26, reaction time = 101.93 min, adsorbent dose = 2.98 g L−1, As+5 concentration 6.28 mg L−1), which adsorption capacity could reach 104.7 mg g−1 in 308 K. The results obtained shown that the maximum adsorption occurred over the pH of 4 to 6 with the extension of adsorption time. Based on the high R2 value obtained, the best model to describe the data was the Temkin model. The kinetics followed was the pseudo-second-order and the intraparticle diffusion was the dominating mechanism. The thermodynamic study indicated which the adsorption process was physical and spontaneous endothermic. Additionally, the findings of the toxicity analysis showed no growth inhibitory effect on Escherichia coli in the presence of IIP@SiO2@Fe3O4 at different dilutions.
| Item Type: | Article |
|---|---|
| Subjects: | R Medicine > RM Therapeutics. Pharmacology |
| Divisions: | Faculty of Medicine, Health and Life Sciences > School of Medicine |
| Depositing User: | lorestan university |
| Date Deposited: | 23 Sep 2020 05:59 |
| Last Modified: | 23 Sep 2020 05:59 |
| URI: | http://eprints.lums.ac.ir/id/eprint/2348 |
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