Modelling and optimization of critical parameters by hybrid RSM-GA for the separation of BSA using a tubular configured MFI-type zeolite microfiltration membrane

作者: R Vinoth Kumar , I Ganesh Moorthy , G Pugazhenthi , None

DOI: 10.1039/C5RA20114D

关键词:

摘要: This paper deals with the fabrication of a MFI-type zeolite membrane via an in situ hydrothermal synthesis technique on low cost porous tubular ceramic substrate. To formulate layer substrate, solution was prepared using silicate solutions. The MFI (as synthesized and calcined) characterized by X-ray diffraction (XRD), thermogravimetry (TG) Fourier transform infrared spectroscopy (FTIR) analysis. fabricated substrate as well field emission scanning electron microscopy (FESEM), porosity water permeability measurements. porosity, mean pore size were evaluated to be 51%, 0.272 μm 4.43 × 10−7 m3 m−2 s−1 kPa−1, respectively. separation efficiency terms permeate flux rejection studied BSA model protein. Three operating parameters, concentration (100–500 ppm), pH (2–4) applied pressure (68.94–275.79 kPa), optimized for better response surface methodology (RSM) followed bi-objective genetic algorithm (GA). non-linear models predicted RSM further GA. appropriate optimum conditions obtained 100 ppm, 2 275.79 kPa. These experimentally validated higher 4.63 10−5 m 81.98%, Further, compared other membranes used stated literature.

参考文章(35)
J. Kuhn, J. Gross, J.C. Jansen, F. Kapteijn, P.J. Jansens, Investigating mass transport in zeolite pores by tuning the framework polarity Studies in Surface Science and Catalysis. ,vol. 170, pp. 942- 948 ,(2007) , 10.1016/S0167-2991(07)80943-8
Reza Soleimani, Navid Alavi Shoushtari, Behrooz Mirza, Abdolhamid Salahi, Experimental investigation, modeling and optimization of membrane separation using artificial neural network and multi-objective optimization using genetic algorithm Chemical Engineering Research & Design. ,vol. 91, pp. 883- 903 ,(2013) , 10.1016/J.CHERD.2012.08.004
Debanga Nandan Mondal, Kadambini Sarangi, Frank Pettersson, Prodip Kumar Sen, Henrik Saxén, Nirupam Chakraborti, Cu―Zn separation by supported liquid membrane analyzed through Multi-objective Genetic Algorithms Hydrometallurgy. ,vol. 107, pp. 112- 123 ,(2011) , 10.1016/J.HYDROMET.2011.02.008
George Derringer, Ronald Suich, Simultaneous Optimization of Several Response Variables Journal of Quality Technology. ,vol. 12, pp. 214- 219 ,(1980) , 10.1080/00224065.1980.11980968
Abdullah Konak, David W. Coit, Alice E. Smith, Multi-objective optimization using genetic algorithms: A tutorial Reliability Engineering & System Safety. ,vol. 91, pp. 992- 1007 ,(2006) , 10.1016/J.RESS.2005.11.018
Anna Persson, Ann-Sofi Jönsson, Guido Zacchi, Transmission of BSA during cross-flow microfiltration: influence of pH and salt concentration Journal of Membrane Science. ,vol. 223, pp. 11- 21 ,(2003) , 10.1016/S0376-7388(03)00268-0
Luis K. Cabatingan, Ramelito C. Agapay, Johannes L. L. Rakels, Marcel Ottens, Luuk A. M. van der Wielen, Potential of Biosorption for the Recovery of Chromate in Industrial Wastewaters Industrial & Engineering Chemistry Research. ,vol. 40, pp. 2302- 2309 ,(2001) , 10.1021/IE0008575
K.M. Desai, S.K. Akolkar, Y.P. Badhe, S.S. Tambe, S.S. Lele, Optimization of fermentation media for exopolysaccharide production from Lactobacillus plantarum using artificial intelligence-based techniques Process Biochemistry. ,vol. 41, pp. 1842- 1848 ,(2006) , 10.1016/J.PROCBIO.2006.03.037
P. Monash, Abhijit Majhi, G. Pugazhenthi, Separation of bovine serum albumin (BSA) using γ-Al2O3–clay composite ultrafiltration membrane Journal of Chemical Technology & Biotechnology. ,vol. 85, pp. 545- 554 ,(2009) , 10.1002/JCTB.2326