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Issue
Korean Journal of Chemical Engineering,
Vol.33, No.3, 902-913, 2016
Synthesis of nanostructured adsorbent and dye adsorption modeling by an intelligent model for multicomponent systems
Mahmoodi NM, Hosseinabadi-Farahani Z, Chamani H
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.
Keywords: Nanostructured Adsorbent; Synthesis; Intelligent Modeling; Binary System; Dye Adsorption; Wastewater
[References]
  1. Mahmoodi NM, J. Mol. Catal. A-Chem., 366, 254, 2013
  2. Mahmoodi NM, Mater. Res. Bull., 48(10), 4255, 2013
  3. Mahmoodi NM, Arabloo M, Abdi J, Water Res., 67, 216, 2014
  4. Dalvand A, Gholami M, Joneidi A, Mahmoodi NM, Clean., 39, 665, 2011
  5. Mahmoodi NM, J. Ind. Eng. Chem., 27, 251, 2015
  6. Mahmoodi NM, Fiber. Polym., 15, 273, 2014
  7. Singh K, Arora S, Crit. Rev. Environ. Sci. Technol., 41, 807, 2014
  8. Forgacs E, Cserhati T, Oros G, Environ. Int., 30, 953, 2004
  9. Narayanan KB, Park HH, Korean J. Chem. Eng., 32(7), 1273, 2015
  10. Huang F, Luo M, Cui L, Wu G, Korean J. Chem. Eng., 32(2), 268, 2015
  11. Tang X, Li Y, Chen R, Min F, Yang J, Dong Y, Korean J. Chem. Eng., 32(1), 125, 2015
  12. Vidhyadevi T, Arukkani M, Selvaraj K, Periyaraman PM, Lingam R, Subramanian S, Korean J. Chem. Eng., 32(4), 650, 2015
  13. Mahmoudi K, Hosni K, Hamdi N, Srasra E, Korean J. Chem. Eng., 32(2), 274, 2015
  14. Mehmood A, Bano S, Fahim A, Parveen R, Khurshid S, Korean J. Chem. Eng., 32(5), 882, 2015
  15. Ramesha GK, Kumara AV, Muralidhara HB, Sampath S, J. Colloid Interface Sci., 361(1), 270, 2011
  16. Sun H, Cao L, Lu L, Nano Res., 4, 550, 2011
  17. Parab H, Sudersanan M, Shenoy N, Pathare T, Vaze B, Clean., 37, 963, 2009
  18. Bulut Y, Aydin H, Desalination, 194(1-3), 259, 2006
  19. Mahmoodi NM, J. Environ. Eng., 139, 1368, 2013
  20. Mahmoodi NM, Limaee NY, Arami M, Borhany S, Mohammad-Taheri M, J. Photochem. Photobiol. A-Chem., 189, 1, 2007
  21. Dong W, Zang L, Li H, Appl. Mech. Mater., 361-363, 760, 2013
  22. Mahmoodi NM, Environ. Monit. Assess., 86, 5595, 2014
  23. Mahmoodi NM, Hayati B, Arami M, Bahrami H, Desalination, 275(1-3), 93, 2011
  24. Ranibar-Mohammadi M, Arami M, Bahrami H, Mazaheri F, Mahmoodi NM, Colloids Surf. B: Biointerfaces, 76, 397, 2010
  25. Mahmoodi NM, Arami M, Mazaheri F, Rahimi S, J. Clean Prod., 18, 146, 2010
  26. Dharmaraj N, Prabu P, Nagarajan S, Kim CH, Park JH, Kim HY, Mater. Sci. Eng. B-Solid State Mater. Adv. Technol., 128, 111, 2006
  27. Saghatforoush LA, Hasanzadeh M, Sanat S, Mehdizadeh R, Bull. Korean Chem. Soc., 33, 2613, 2012
  28. Motahari F, Mozdianfard MR, Soofivand F, Salavati-Niasari M, RSC Adv., 4, 27654, 2014
  29. Dubal DP, Lee SH, Kim WB, J. Mater. Sci., 47(8), 3817, 2012
  30. Zhang P, Ma X, Wang K, Tao Z, Liu T, Yang L, Micro Nano Lett., 7, 505, 2012
  31. Cheng B, Le Y, Cai W, Yu J, J. Chin. Chem. Soc., 185, 889, 2012
  32. Meyer M, Bee A, Talbot D, Cabuil V, Boyer JM, Repetti B, Garrigos R, J. Colloid Interface Sci., 277(2), 309, 2004
  33. Mahmoodi NM, J. Environ. Eng.-ASCE, 139, 1382, 2011
  34. Byvatov E, Fechner U, Sadowski J, Schneider G, J. Chem. Inf. Comput. Sci., 43, 1882, 2003
  35. Cortes C, Vapnik V, Machine Learning., 20, 273, 1995
  36. Safari H, Shokrollahi A, Jamialahmadi M, Ghazanfari MH, Bahadori A, Zendehboudi S, Fluid Phase Equilib., 374, 48, 2014
  37. Moser G, Serpico SB, IEEE Geoscience Remote Sensing lett., 6, 448, 2009
  38. Suykens JAK, Eur. J. Control., 7, 311, 2001
  39. Rafiee-Taghanaki S, Arabloo M, Chamkalani A, Amani M, Zargari MH, Adelzadeh MR, Fluid Phase Equilib., 346, 25, 2013
  40. Baylar A, Hanbay D, Batan M, Expert Systems with Applications, 36, 8368, 2009
  41. Amendolia SR, Cossu G, Ganadu M, Golosio B, Masala G, Mura GM, Chemometrics Intell. Lab., 69, 13, 2003
  42. Bazzani A, Bevilacqua A, Bollini D, Brancaccio R, Campanini R, Lanconelli N, Riccardi A, Romani D, Phys. Med. Biol., 46, 1651, 2001
  43. Suykens JA, Van Gestel T, De Brabanter J, De Moor B, Vandewalle J, Least squares support vector machines, World Scientific Pub. Co., Singapore (2002).
  44. Suykens JAK, Vandewalle J, Neural Process. Lett., 9, 293, 1999
  45. Ubeyli ED, Expert Syst. Appl., 37, 233, 2010
  46. Shokrollahi A, Arabloo M, Gharagheizi F, Mohammadi AH, Fuel, 112, 375, 2013
  47. Hemmati-Sarapardeh A, Shokrollahi A, Tatar A, Gharagheizi F, Mohammadi AH, Naseri A, Fuel, 116, 39, 2014
[Cited By]
  1. Didehban K, Hayasi M, Kermajani F, Korean Journal of Chemical Engineering, 34(4), 1177, 2017
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