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Received May 9, 2015
Accepted September 19, 2015
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Synthesis of nanostructured adsorbent and dye adsorption modeling by an intelligent model for multicomponent systems
Department of Environmental Research, Institute for Color Science and Technology, Tehran, Iran
Korean Journal of Chemical Engineering, March 2016, 33(3), 902-913(12), 10.1007/s11814-015-0198-4
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Abstract
β-Ni(OH)2 nanoparticle was synthesized and used as an adsorbent. The prepared adsorbent was characterized by scanning electron microscopy (SEM), field emission scanning electron microscopy (FESEM), Fourier transform infrared (FTIR) and X-ray diffraction (XRD). Least square support vector machine (LSSVM) as an intelligent model was applied for modeling of dye removal based on experimental data obtained from laboratory. The nanostructured adsorbent was used to remove three cationic dyes (BB41: Basic blue 41, BR18: Basic Red 18 and BR46: Basic Red 46) from single and binary systems at room temperature. The kinetics and isotherm of dye adsorption was studied. The effects of adsorbent dosage and initial dye concentration were elucidated. The kinetic studies showed that the adsorption data followed pseudo-second order kinetics model. The isotherm analysis indicates that the adsorption data can be represented by Langmuir in single systems. Based on graphical plots and the values of statistical parameter, LSSVM as an intelligent model is suitable for modeling of dye adsorption from single and binary systems.
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References
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Dalvand A, Gholami M, Joneidi A, Mahmoodi NM, Clean., 39, 665 (2011)
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Huang F, Luo M, Cui L, Wu G, Korean J. Chem. Eng., 32(2), 268 (2015)
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Mahmoudi K, Hosni K, Hamdi N, Srasra E, Korean J. Chem. Eng., 32(2), 274 (2015)
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Sun H, Cao L, Lu L, Nano Res., 4, 550 (2011)
Parab H, Sudersanan M, Shenoy N, Pathare T, Vaze B, Clean., 37, 963 (2009)
Bulut Y, Aydin H, Desalination, 194(1-3), 259 (2006)
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Mahmoodi NM, Limaee NY, Arami M, Borhany S, Mohammad-Taheri M, J. Photochem. Photobiol. A-Chem., 189, 1 (2007)
Dong W, Zang L, Li H, Appl. Mech. Mater., 361-363, 760 (2013)
Mahmoodi NM, Environ. Monit. Assess., 86, 5595 (2014)
Mahmoodi NM, Hayati B, Arami M, Bahrami H, Desalination, 275(1-3), 93 (2011)
Ranibar-Mohammadi M, Arami M, Bahrami H, Mazaheri F, Mahmoodi NM, Colloids Surf. B: Biointerfaces, 76, 397 (2010)
Mahmoodi NM, Arami M, Mazaheri F, Rahimi S, J. Clean Prod., 18, 146 (2010)
Dharmaraj N, Prabu P, Nagarajan S, Kim CH, Park JH, Kim HY, Mater. Sci. Eng. B-Solid State Mater. Adv. Technol., 128, 111 (2006)
Saghatforoush LA, Hasanzadeh M, Sanat S, Mehdizadeh R, Bull. Korean Chem. Soc., 33, 2613 (2012)
Motahari F, Mozdianfard MR, Soofivand F, Salavati-Niasari M, RSC Adv., 4, 27654 (2014)
Dubal DP, Lee SH, Kim WB, J. Mater. Sci., 47(8), 3817 (2012)
Zhang P, Ma X, Wang K, Tao Z, Liu T, Yang L, Micro Nano Lett., 7, 505 (2012)
Cheng B, Le Y, Cai W, Yu J, J. Chin. Chem. Soc., 185, 889 (2012)
Meyer M, Bee A, Talbot D, Cabuil V, Boyer JM, Repetti B, Garrigos R, J. Colloid Interface Sci., 277(2), 309 (2004)
Mahmoodi NM, J. Environ. Eng.-ASCE, 139, 1382 (2011)
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Baylar A, Hanbay D, Batan M, Expert Systems with Applications, 36, 8368 (2009)
Amendolia SR, Cossu G, Ganadu M, Golosio B, Masala G, Mura GM, Chemometrics Intell. Lab., 69, 13 (2003)
Bazzani A, Bevilacqua A, Bollini D, Brancaccio R, Campanini R, Lanconelli N, Riccardi A, Romani D, Phys. Med. Biol., 46, 1651 (2001)
Suykens JA, Van Gestel T, De Brabanter J, De Moor B, Vandewalle J, Least squares support vector machines, World Scientific Pub. Co., Singapore (2002).
Suykens JAK, Vandewalle J, Neural Process. Lett., 9, 293 (1999)
Ubeyli ED, Expert Syst. Appl., 37, 233 (2010)
Shokrollahi A, Arabloo M, Gharagheizi F, Mohammadi AH, Fuel, 112, 375 (2013)
Hemmati-Sarapardeh A, Shokrollahi A, Tatar A, Gharagheizi F, Mohammadi AH, Naseri A, Fuel, 116, 39 (2014)
