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      • KCI등재

        A comparative removal of two dyes from aqueous solution using modified oak waste residues: Process optimization using response surface methodology

        Samira Samarbaf,Yaser Tahmasebi Birgani,Mohsen Yazdani,Ali Akbar Babaei 한국공업화학회 2019 Journal of Industrial and Engineering Chemistry Vol.73 No.-

        In this study, optimization of adsorptive removal of two cationic (methylene blue (MB)) and anionic (acidred 73 (AR 73)) dyes with modified oak waste (MOW) adsorbent was carried out using response surfacemethodology (RSM). The input variables included initial solution pH (2–10), contact time (20–200 min),adsorbent dosage (0.5–2.5 g/L) and initial dyes concentrations (10–90 mg/L). Furthermore, the surfaces ofthe adsorbent were modified with different modifiers tofind the most efficient adsorbent. The obtainedresults of comparative studies on dyes adsorption confirm that sodium hydroxide, compared to othermodifiers, has the highest ability to activate the surfaces of the oak waste (OW) to remove dyes from thesolution. Using NaOH, the removal efficiency of MB and that of AR 73 were obtained to be 96% and 29%,respectively. In addition, results of the optimization study showed that RSM could significantly predictthe experimental data of dyes removal with a high correlation coefficient (0.991 for MB and 0.993 for AR73). The optimum experimental conditions for dyes removal were pH of 6.2, 160 min contact time, 2.0 g/Ladsorbent dosage and 70 mg/L initial dye concentrations. Under this condition, the removal efficiency forMB and AR 73 reached 85.36% and 41.27%, respectively. Ultimately, from thefindings of this study, it isobserved that MOW can be used as an efficient and cost-effective adsorbent for the removal of dyes fromthe contaminated aqueous solution.

      • KCI등재

        Alkali modified oak waste residues as a cost-effective adsorbent for enhanced removal of cadmium from water: Isotherm, kinetic, thermodynamic and artificial neural network modeling

        Afshin Takdastan,Samira Samarbaf,Yaser Tahmasebi Birgani,Nadali Alavi,Ali Akbar Babaei 한국공업화학회 2019 Journal of Industrial and Engineering Chemistry Vol.78 No.-

        Heavy metals are kind of toxic substances which are abundant in all municipal, agricultural, industrialand treated wastewaters. In this research, a comparative study was carried out for adsorptive removal ofCd2+ from aqueous solution using raw oak waste and NaOH-activated oak waste at different experimentalconditions namely, pH of solution (2–8), contact time (5–240 min), adsorbent dosages (0.1–10 g/L) andinitial Cd2+ concentrations (25–100 mg/L). In addition, the experimental data of Cd2+ adsorption werefitted with different isotherm and kinetic models to determine the most appropriate model. Artificialneural network (ANN) model was also used tofind the effect of each individual parameter on Cd2+adsorptive removal. Based on the results of batch experiments, adsorbent dosages and initial Cd2+concentrations had direct and indirect relationships with Cd2+ removal, respectively. Furthermore,among all applied isotherm and kinetic models, Langmuir isotherm model and Avrami fractional-orderkinetic models could best-fitted with the experimental data of Cd2+ removal. The results ofthermodynamic studies revealed that the adsorption of Cd2+ onto the surfaces of oak waste adsorbentsis exothermic and spontaneous. Finally, according to thefindings of ANN studies, this approach couldmodel the role of each parameter on Cd2+ removal with high coefficient of correlation (>0.99). Accordingly, pH of solution and temperature had the highest and lowest influence on removal of Cd2+from solution, respectively. The results implied that oak waste can be selected as a promising andenvironmentally friendly adsorbent for the effective remediation of water bodies containing heavymetals.

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