Advancing mathematical modeling and optimization for effective removal and recovery of As(V) using green liquid membrane (Aliquat336 + Corn oil) via HFSLM
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引用次数: 0
Abstract
This work presents the removal of arsenic(V) ions from synthetic produced water via hollow fiber supported liquid membrane (HFSLM). The liquid membrane contains N-methyl-N,N,N-trioctylammoniumchloride (Aliquat 336, extractant) and corn oil (solvent). Four stripping solutions i.e. NaOH, HCl, thiourea, and HCl + thiourea are investigated. Optimum conditions found proved to be pH 12 of feed solution, 0.54 M Aliquat 336 in corn oil, and flow rates of 100 mL min-1 for both feed and stripping solution, via response surface methodology (RSM) combined with face centered central composite design (FCCD). Percentages of arsenic extraction and stripping reached 99 % and 100 %, respectively, at 323.2 K. Kinetic studies, thermodynamic parameters, extraction and stripping mechanisms, and mass transfer resistance are analyzed. To enhance liquid membrane stability, the properties of corn oil and the optimal pH demonstrate water resistance capability. New mathematical models, using an integrating factor method, developed to predict the mass transfer of arsenic ions during extraction and stripping, are seen to fit in well with the experimental data and reveal deviations of 6.2 % and 2.8 %, respectively.
期刊介绍:
Journal of Industrial and Engineering Chemistry is published monthly in English by the Korean Society of Industrial and Engineering Chemistry. JIEC brings together multidisciplinary interests in one journal and is to disseminate information on all aspects of research and development in industrial and engineering chemistry. Contributions in the form of research articles, short communications, notes and reviews are considered for publication. The editors welcome original contributions that have not been and are not to be published elsewhere. Instruction to authors and a manuscript submissions form are printed at the end of each issue. Bulk reprints of individual articles can be ordered. This publication is partially supported by Korea Research Foundation and the Korean Federation of Science and Technology Societies.