화학공학소재연구정보센터
Journal of Industrial and Engineering Chemistry, Vol.24, 42-50, April, 2015
Artificial neural network for modeling the size of silver nanoparticles’ prepared in montmorillonite/starch bionanocomposites
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In this study, artificial neural network (ANN) was used to develop an approach for evaluation of silver nanoparticles (Ag?NPs) size in the bionanocomposites substrate. A multi-layer feed forward ANN was applied to correlate the output as size of Ag-NPs, with four inputs include of AgNO3 concentration, temperature of reaction, weight percentage of starch, and MMT amount. The results of proposed methodology were compared for its predictive capabilities in terms of coefficient determination (R2) and mean square error (MSE) based on the validation data set. The model finding revealed that AgNO3 concentration content has significant effect on size of Ag-NPs.
  1. Lavorgna M, Attianese I, Buonocore GG, Conte A, Del Nobile MA, Tescione F, Amendola E, Carbohydr. Polym., 102, 385 (2014)
  2. Ahmad MB, Shameli K, Yunus WMZW, Ibrahim NA, Am. J. Appl. Sci., 6(11), 1909 (2009)
  3. Bakandritsos A, Steriotis T, Petridis D, Chem. Mater., 16, 1551 (2004)
  4. Rai M, Yadav A, Gade A, Biotechnol. Adv., 27, 76 (2009)
  5. Shameli K, Ahmad MB, Yunus WMZW, Ibrahim NA, Gharayebi Y, Sedaghat S, Int. J. Nanomed., 5, 1067 (2010)
  6. Shameli K, Ahmad MB, Yunus WMZW, Rustaiyan A, Ibrahim NA, Int. J. Nanomed., 5, 875 (2010)
  7. Zhang Y, Chen F, Zhuang J, Tang Y, Wang D, Wang Y, Dong A, Ren N, Chem. Commun., 49, 2814 (2002)
  8. Shameli K, Ahmad MB, Zargar M, Yunus WMZ, Ibrahim NA, Shabanzadeh P, Int. J. Nanomed., 6, 271 (2011)
  9. Shameli K, Ahmad MB, Zargar M, Yunus WMZW, Rustaiyan A, Ibrahim NA, Int. J. Nanomed., 6, 581 (2011)
  10. Ahmad MB, Lim JJ, Shameli K, Ibrahim NA, Tay MY, Molecules, 16, 7237 (2011)
  11. Shameli K, Ahmad MB, Yunus WMZW, Ibrahim NA, Int. J. Nanomed., 5, 743 (2010)
  12. Shameli K, Ahmad MB, Zargar M, Yunus WMZW, Ibrahim NA, Int. J. Nanomed., 6, 331 (2011)
  13. Shameli K, Bin Ahmad M, Jazayeri SD, Sedaghat S, Shabanzadeh P, Jahangirian H, Mahdavi M, Abdollahi Y, Int. J. Mol. Sci., 13(6), 6639 (2012)
  14. Pastoriza-Santos I, Liz-Marzan LM, Langmuir, 15(4), 948 (1999)
  15. Ahmad MB, Shameli K, Yunus WMZW, Ibrahim NA, Aust. J. Basic Appl. Sci., 4, 2158 (2010)
  16. Setua P, Pramanik R, Sarkar S, Ghatak C, Das SK, Sarkar N, J. Phys. Chem. B, 114(22), 7557 (2010)
  17. Praus P, Turicova M, Klementova M, Braz J, Chem. Soc., 20, 1351 (2009)
  18. Sun L, Zhang Z, Dang H, Mater. Lett., 57, 3874 (2003)
  19. Zhou NL, Liu Y, Li L, Meng N, Huang YX, Zhang J, Wei SH, Shen J, Curr. Appl. Phys., 7(1001), 58 (2007)
  20. Ahmad MB, Shameli K, Yunus WMZW, Ibrahim NA, Hamid AA, Zargar M, Res. J. Biol. Sci., 4(9), 1032 (2009)
  21. Bingol D, Hercan M, Elevli S, Kilic E, Bioresour. Technol., 112, 111 (2012)
  22. Despagne F, Massart DL, Analyst, 123, 157R (1998)
  23. Aziz HY, Phys. Chem. Liq., 45(4), 471 (2007)
  24. Ozdemir U, Ozbay B, Veli S, Zor S, Chem. Eng. J., 178, 183 (2011)
  25. Nazari AG, Mozafari M, Adv. Powder Technol., 23(2), 220 (2012)
  26. Shabanzadeh P, Senu N, Shameli K, Mohagheghtabar M, E-J. Chem., http://dx.doi.org/10.1155/2013/305713., 305713, 1 (2013)
  27. Hongshui W, Qiao X, Chen J, Ding S, Colloids Surf. A: Physicochem. Eng. Asp., 256, 111 (2005)
  28. Khayet M, Cojocaru C, Essalhi M, J. Membr. Sci., 368(1-2), 202 (2011)
  29. Nia RH, Ghaedi M, Ghaedi AM, J. Mol. Liq., 195, 219 (2014)
  30. Celekli A, Birecikligil SS, Geyik F, Bozkurt H, Bioresour. Technol., 103(1), 64 (2012)
  31. Rezakazemi M, Razavi S, Mohammadi T, Nazari AG, J. Membr. Sci., 379(1-2), 224 (2011)
  32. Rezakazemi M, Mohammadi T, Int. J. Hydrog. Energy, 38(32), 14035 (2013)
  33. Wang L, Yang B, Wang R, Xiuqiao D, Food Chem., 111(3), 683 (2008)
  34. Haykin S, Neural Networks: A Comprehensive Foundation, second ed., Prentice Hall International, Inc., Prentice Hall PTR Upper Saddle River, NJ, USA, 1999.