naa a22 4500 510749712 CHVBK 20180411083100.0 cr unu---uuuuu 180411e20130901xx s 000 0 eng 10.1007/s11270-013-1685-z doi (NATIONALLICENCE)springer-10.1007/s11270-013-1685-z Optimization of Process Parameters for Removal of Arsenic Using Activated Carbon-Based Iron-Containing Adsorbents by Response Surface Methodology [Elektronische Daten] [Aslı Tuna, Ercan Özdemir, Esra Simsek, Ulker Beker] In this study, arsenate removal by apricot stone-based activated carbon (IAC) modified with iron (oxy-hydr)oxides was carried out. For this purpose, hybrid adsorbents based on Fe2+-loaded activated carbon (IAC-Fe(II)) and Fe3+-loaded activated carbon (IAC-Fe(III)) were synthesized by precipitation method. A three-level, three-factor Box-Behnken experimental design combined with response surface methodology (RSM) was employed to find the optimum combination of process parameters for maximizing the As(V) adsorption capacity of activated carbon-based iron-containing hybrid adsorbent. Three important operation parameters, namely, initial pH of solution (3.0-7.0), temperature (25-65 °C), and initial As(V) concentration (0.5-8.5 mg L−1), were chosen as the independent variables, while the As(V) adsorption capacities of hybrid adsorbents were designated as dependent variables. Lack of fit test showed that the quadratic model provided the best fit to experimental data for both adsorbents with the highest coefficients of determination (R 2), adjusted R 2, and p-values for lack of fit. The standardized effects of the independent variables and their interactions were tested by analysis of variance and Pareto chart. The model F-values (F IAC-Fe(II)=330.39 and F IAC-Fe(III)=36.19) and R 2 values (R 2 IAC-Fe(II)=0.9977 and R 2 IAC-Fe(III)=0.9789) of second-order polynomial regression equations indicated the significance of the regression models. Optimum process conditions for As(V) adsorption onto IAC-Fe(II) were 63.68 °C, pH 3.10, and 8.4 mg L−1 initial arsenic concentration, while 25.22 °C, pH 3.07, and 8.28 mg L−1 initial As(V) concentration were found to be optimum conditions for IAC-Fe(III). Springer Science+Business Media Dordrecht, 2013 Activated carbon nationallicence Iron (oxy-hydr) oxides nationallicence Arsenic nationallicence Box-Behnken nationallicence Response surface methodology nationallicence Tuna Aslı Chemical Engineering Department, Yildiz Technical University, Davutpasa Campus, 34210, Istanbul, Esenler, Turkey aut Özdemir Ercan Clean Energy and Nanotechnology Research Center, Gebze Institute of Technology, 41400, Kocaeli, Turkey aut Simsek Esra Chemical and Process Engineering Department, Yalova University, 77100, Yalova, Turkey aut Beker Ulker Chemical Engineering Department, Yildiz Technical University, Davutpasa Campus, 34210, Istanbul, Esenler, Turkey aut Water, Air, & Soil Pollution Springer Netherlands 224/9(2013-09-01), 1-15 0049-6979 224:9<1 2013 224 11270 https://doi.org/10.1007/s11270-013-1685-z text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11270-013-1685-z text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Tuna Aslı Chemical Engineering Department, Yildiz Technical University, Davutpasa Campus, 34210, Istanbul, Esenler, Turkey aut NATIONALLICENCE 700 1- Özdemir Ercan Clean Energy and Nanotechnology Research Center, Gebze Institute of Technology, 41400, Kocaeli, Turkey aut NATIONALLICENCE 700 1- Simsek Esra Chemical and Process Engineering Department, Yalova University, 77100, Yalova, Turkey aut NATIONALLICENCE 700 1- Beker Ulker Chemical Engineering Department, Yildiz Technical University, Davutpasa Campus, 34210, Istanbul, Esenler, Turkey aut NATIONALLICENCE 773 0- Water, Air, & Soil Pollution Springer Netherlands 224/9(2013-09-01), 1-15 0049-6979 224:9<1 2013 224 11270 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer