naa a22 4500 510749976 CHVBK 20180411083101.0 cr unu---uuuuu 180411e20130701xx s 000 0 eng 10.1007/s11270-013-1614-1 doi (NATIONALLICENCE)springer-10.1007/s11270-013-1614-1 Process Optimization for Arsenic Adsorption onto Natural Zeolite Incorporating Metal Oxides by Response Surface Methodology [Elektronische Daten] [Esra Simsek, Ercan Özdemir, Ulker Beker] Arsenic (As) adsorption onto metal oxide-precipitated clinoptilolite was investigated by using response surface methodology (RSM). Box-Behnken experimental design combined with RSM was used to examine and to optimize major process parameters. The quadratic statistical model was defined by three independent variables namely, pH (3-7), temperature (25-65°C), and initial arsenate (As(V)) concentration (0.5-9.5mgL−1) while adsorption capacities of modified zeolites were designated as dependent variables. The iron oxide-precipitated zeolite (ZNa-Fe) was found to be more effective adsorbent when compared with aluminum oxide-modified one (ZNa-Al). The maximum As(V) adsorption capacities for ZNa-Fe and ZNa-Al were observed at pH3.0 and pH4.96, respectively. In the chosen range, higher adsorption capacities were achieved with increasing temperature, indicating the endothermic behavior of process for both samples. Initial As(V) concentration had a marked favorable effect on the amount of As(V) adsorbed onto adsorbents in the selected field. The constructed polynomial model was found significant, as was evident from the model F values (FZNa-Fe = 414.95 and F ZNa-Al = 167.17). The coefficients of determination values of second-order polynomial regression models were found as 0.9981 and 0.9953 for ZNa-Fe and ZNa-Al, respectively, indicating the accuracy and general availability of the model. Springer Science+Business Media Dordrecht, 2013 Adsorption nationallicence Arsenic nationallicence Metal oxides nationallicence Box-Behnken nationallicence Response surface methodology nationallicence Simsek Esra Chemical and Process Engineering Department, Yalova University, 77100, Yalova, Turkey aut Özdemir Ercan Clean Energy and Nanotechnology Research Center, Gebze Institute of Technology, 41400, Kocaeli, Turkey aut Beker Ulker Chemical Engineering Department, Yildiz Technical University, 34210, Istanbul, Turkey aut Water, Air, & Soil Pollution Springer Netherlands 224/7(2013-07-01), 1-14 0049-6979 224:7<1 2013 224 11270 https://doi.org/10.1007/s11270-013-1614-1 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11270-013-1614-1 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Simsek Esra Chemical and Process Engineering Department, Yalova University, 77100, Yalova, Turkey aut NATIONALLICENCE 700 1- Özdemir Ercan Clean Energy and Nanotechnology Research Center, Gebze Institute of Technology, 41400, Kocaeli, Turkey aut NATIONALLICENCE 700 1- Beker Ulker Chemical Engineering Department, Yildiz Technical University, 34210, Istanbul, Turkey aut NATIONALLICENCE 773 0- Water, Air, & Soil Pollution Springer Netherlands 224/7(2013-07-01), 1-14 0049-6979 224:7<1 2013 224 11270 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer