Identyfikatory
Warianty tytułu
Języki publikacji
Abstrakty
Removal of mercury(II) (Hg(II)) from aqueous media by a new biosorbent was carried out. Natural Polyporus squamosus fungus, which according to the literature has not been used for the purpose of Hg(II) biosorption before, was utilized as a low-cost biosorbent, and the biosorption conditions were analyzed by response surface methodology (RSM). Medium parameters which were expected to affect the biosorption of Hg(II) were determined to be initial pH, initial Hg(II) concentration (Co), temperature (T (°C)), and contact time (min). All experiments were carried out in a batch system using 250 mL flasks containing 100 mL solution with a magnetic stirrer. The Hg(II) concentrations remaining in filtration solutions after biosorption were analyzed using Inductively Coupled Plasma Optical Emission Spectrometry (ICP-OES). Based on the RSM results, the optimal conditions were found to be 5.30, 47.39 mg/L, 20°C and 254.9 min for pH, Co, T (°C), and contact time, respectively. Under these optimal conditions, the maximum biosorbed amount and the biosorption yield were calculated to be 3.54 mg/g and 35.37%, respectively. This result was confirmed by experiments. This result shows that Polyporus squamosus has a specific affinity for Hg ions. Under optimal conditions, by increasing the amount of Polyporus squamosus used, it can be concluded that all Hg ions will be removed.
Czasopismo
Rocznik
Tom
Strony
37--43
Opis fizyczny
Bibliogr. 29 poz., tab., wykr.
Twórcy
autor
- Yuzuncu Yil University, Turkey, Faculty of Pharmacy, Department of Professional Pharmaceutical Sciences
autor
- Yuzuncu Yil University, Turkey, Faculty of Engineering, Department of Chemical Engineering
Bibliografia
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- [4]. Bhatti, H.N. & Amin, M. (2013). Removal of zirconium(IV) from aqueous solution by Coriolus versicolor: Equilibrium and thermodynamic study, Ecological Engineering, 51, pp. 178-180.
- [5]. Chi, G., Hu, S., Yang, Y. & Chen, T. (2012). Response surface methodology with prediction uncertainty: A multi-objective optimization approach, Chemical Engineering Research and Design, 90, pp. 1235-1244.
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- [11]. Ji, F., Li, C., Tang, B., Xu, J., Lu, G. & Liu, P. (2012). Preparation of cellulose acetate/zeolite composite fiber and its adsorption behavior for heavy metal ions in aqueous solution, Chemical Engineering Journal, 209, pp. 325-333.
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- [15]. Krowiak, A.W., Chojnacka, K., Podstawczyk, D., Dawiec, A. & Pokomeda, K. (2014). Application of response surface methodology and artificial neural network methods in modelling and optimization of biosorption process, Bioresource Technology, 160, pp. 150-160.
- [16]. Kumar, N.S. & Min, K. (2011). Phenolic compounds biosorption onto Schizophyllum commune fungus: FTIR analysis, kinetics and adsorption isotherms modeling, Chemical Engineering Journal, 168, pp. 562-571.
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- [23]. Şahan, T. & Öztürk, D. (2014). Investigation of Pb(II) adsorption onto pumice samples: application of optimization method based on fractional factorial design and response surface methodology, Clean Technologies and Environmental Policy, 16, pp. 819-831.
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- [26]. Wang, Z., Yin, P., Qu, R., Chen, H., Wang, C. & Ren, S. (2013). Adsorption kinetics, thermodynamics and isotherm of Hg(II) from aqueous solutions using buckwheat hulls from Jiaodong of China, Food Chemistry, 136, pp. 1508-1514.
- [27]. Wang, L., Yang, J., Chen, Z., Liu, X. & Ma, F. (2013). Biosorption of Pb(II) and Zn(II) by Extracellular Polymeric Substance (Eps) of Rhizobium Radiobacter: Equilibrium, Kinetics and Reuse Studies, Archives of Environmental Protection, 39, 2, pp. 129-140 .
- [28]. Yan, G. & Viraraghavan, T. (2003). Heavy-metal removal from aqueous solution by fungus Mucor rouxii, Water Research, 37, pp. 4486-4496.
- [29]. Zhang, F.S., Nriagu, J.O. & Itoh, H. (2005). Mercury removal from water using activated carbons derived from organic sewage sludge, Water Research, 39, pp. 389-395.
Uwagi
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-b31168c6-b86f-4e59-9408-f09a8270276a