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Shafaei, Amineh, Khayati, Gholam. (1400). Gene Expression Programming for Green Synthesis of Silver Nanoparticles: Size Evolution. , 54(2), 180-191. doi: 10.22059/jufgnsm.2021.02.07
Amineh Shafaei; Gholam Reza Khayati. "Gene Expression Programming for Green Synthesis of Silver Nanoparticles: Size Evolution". , 54, 2, 1400, 180-191. doi: 10.22059/jufgnsm.2021.02.07
Shafaei, Amineh, Khayati, Gholam. (1400). 'Gene Expression Programming for Green Synthesis of Silver Nanoparticles: Size Evolution', , 54(2), pp. 180-191. doi: 10.22059/jufgnsm.2021.02.07
Shafaei, Amineh, Khayati, Gholam. Gene Expression Programming for Green Synthesis of Silver Nanoparticles: Size Evolution. , 1400; 54(2): 180-191. doi: 10.22059/jufgnsm.2021.02.07

Gene Expression Programming for Green Synthesis of Silver Nanoparticles: Size Evolution

Journal of Ultrafine Grained and Nanostructured Materials
دوره 54، شماره 2، اسفند 2021، صفحه 180-191    اصل مقاله (2.43 M)
نوع مقاله: Research Paper
شناسه دیجیتال (DOI): 10.22059/jufgnsm.2021.02.07
نویسندگان
Amineh Shafaei1؛ Gholam Reza Khayati* 2
1Department of Materials Science and Engineering, Faculty of Engineering, Shahid Bahonar University of Kerman, 7618868366 Kerman, Iran
2Department of Materials Science and Engineering, Shahid Bahonar University of Kerman, Kerman, Iran.
چکیده
In this study, gene expression programming (GEP) was used as a new method for the formulation of the size of Ag nanoparticles (AgNPs) as functions of the AgNO3-to-opium syrup (OS) ratio, pH, temperature (T), agitation speed (AS) and feed rate (Fr) of reducing agent in green synthesis. The models differ from each other concerning their genes number, chromosomes, interconnected function, and head size. A total of 63 samples were selected at different practical parameter products to generate databases for the new particle size formulations, testing, and training sets. The training and testing sets included 47 and 16 randomly selected mixtures for the proposed models. The best GEP model is found, and this final model can predict the size of AgNPs with an R squared of 0.828, a root means square error (RMSE) of 5.894, a root-relative squared error (RRSE) of 0.44. All results in the models indicated an applicable performance for predicting the minimum particle size of the AgNPs and found it reliable. The predicted model showed that all of the input parameters affect the resulting particle size. GEP modeling results denoted that the selected GEP successfully predicts the behavior of the size of nanoparticles as functions of operating variables.
کلیدواژه‌ها
Gene expression programming؛ Green synthesis؛ Ag nanoparticles؛ Modeling
مراجع
  1. Mishra AK, Tiwari KN, Saini R, Kumar P, Mishra SK, Yadav VB, et al. Green Synthesis of Silver Nanoparticles from Leaf Extract of Nyctanthes arbor-tristis L. and Assessment of Its Antioxidant, Antimicrobial Response. Journal of Inorganic and Organometallic Polymers and Materials. 2019;30(6):2266-78.
  2. Rana A, Yadav K, Jagadevan S. A comprehensive review on green synthesis of nature-inspired metal nanoparticles: Mechanism, application and toxicity. Journal of Cleaner Production. 2020;272:122880.
  3. Khan I, Saeed K, Khan I. Nanoparticles: Properties, applications and toxicities. Arabian Journal of Chemistry. 2019;12(7):908-31.
  4. Bhagat M, Anand R, Datt R, Gupta V, Arya S. Green Synthesis of Silver Nanoparticles Using Aqueous Extract of Rosa brunonii Lindl and Their Morphological, Biological and Photocatalytic Characterizations. Journal of Inorganic and Organometallic Polymers and Materials. 2019;29(3):1039-47.
  5. Duan H, Wang D, Li Y. Green chemistry for nanoparticle synthesis. Chem Soc Rev. 2015;44(16):5778-92.
  6. Das RK, Pachapur VL, Lonappan L, Naghdi M, Pulicharla R, Maiti S, et al. Biological synthesis of metallic nanoparticles: plants, animals and microbial aspects. Nanotechnology for Environmental Engineering. 2017;2(1).
  7. Thakkar KN, Mhatre SS, Parikh RY. Biological synthesis of metallic nanoparticles. Nanomedicine. 2010;6(2):257-62.
  8. Hooman Khademi MD, Farin Kamangar MD, Paul Brennan MD, Reza Malekzadeh MD. Opioid therapy and its side effects: a review. Archives of Iranian medicine. 2016 Dec;19(12):870.
  9. Pathan H, Williams J. Basic opioid pharmacology: an update. Br J Pain. 2012;6(1):11-6.
  10. Schiff PL. Opium and its alkaloids. American Journal of Pharmaceutical Education. 2002 Jan;66(2):188-96.
  11. Sattari R, Khayati G. Prediction of the size of silver nanoparticles prepared via green synthesis: A gene expression programming approach. Scientia Iranica. 2020;0(0):0-.
  12. McClelland JL, Rumelhart DE. Parallel Distributed Processing: The MIT Press; 1986.
  13. Liu SW, Huang JH, Sung JC, Lee CC. Detection of cracks using neural networks and computational mechanics. Computer Methods in Applied Mechanics and Engineering. 2002;191(25-26):2831-45.
  14. Anderson JA. Cognitive and psychological computation with neural models. IEEE Transactions on Systems, Man, and Cybernetics. 1983;SMC-13(5):799-815.
  15. Gregory NW. Elements of X-Ray Diffraction. Journal of the American Chemical Society. 2002;79(7):1773-4.
  16. Khayati GR, Janghorban K, Shariat MH. Isothermal kinetics of mechanochemically and thermally synthesized Ag from Ag2O. Transactions of Nonferrous Metals Society of China. 2012;22(4):935-42.
  17. shafaei A, Khayati GR. A predictive model on size of silver nanoparticles prepared by green synthesis method using hybrid artificial neural network-particle swarm optimization algorithm. Measurement. 2019;151:107199.
  18. Nazari A. Compressive strength of geopolymers produced by ordinary Portland cement: Application of genetic programming for design. Materials & Design. 2012;43:356-66.
  19. Modified Particle Swarm Optimization-Artificial Neural Network and Gene Expression Programing for Predicting High Temperature Oxidation Behavior of Ni–Cr–W-Mo Alloys. International Journal of Engineering. 2020;33(11).
  20. . Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment. 2005;551(1):ix.
  21. Koza J. Genetic programming as a means for programming computers by natural selection. Statistics and Computing. 1992;4(2).
  22. Ashour AF, Alvarez LF, Toropov VV. Empirical modelling of shear strength of RC deep beams by genetic programming. Computers & Structures. 2003;81(5):331-8.
  23. Eskil M, Kanca E. A new formulation for martensite start temperature of Fe–Mn–Si shape memory alloys using genetic programming. Computational Materials Science. 2008;43(4):774-84.
  24. Hoseinian FS, Faradonbeh RS, Abdollahzadeh A, Rezai B, Soltani-Mohammadi S. Semi-autogenous mill power model development using gene expression programming. Powder Technology. 2016;308:61-9.
  25. Mahdavi Jafari M, Khayati GR. Prediction of hydroxyapatite crystallite size prepared by sol–gel route: gene expression programming approach. Journal of Sol-Gel Science and Technology. 2018;86(1):112-25.
  26. Alqadi MK, Abo Noqtah OA, Alzoubi FY, Alzouby J, Aljarrah K. pH effect on the aggregation of silver nanoparticles synthesized by chemical reduction. Materials Science-Poland. 2014;32(1):107-11.
  27. Phanjom P, Ahmed G. Effect of different physicochemical conditions on the synthesis of silver nanoparticles using fungal cell filtrate of Aspergillus oryzae (MTCC No. 1846) and their antibacterial effect. Advances in Natural Sciences: Nanoscience and Nanotechnology. 2017;8(4):045016.
  28. Junaidi, Yunus M, Harsojo, Suharyadi E, Triyana K. Effect of Stirring rate on The Synthesis Silver Nanowires using Polyvinyl Alcohol as A Capping Agent by Polyol Process. International Journal on Advanced Science, Engineering and Information Technology. 2016;6(3):365.
  29. Kasture MB, Patel P, Prabhune AA, Ramana CV, Kulkarni AA, Prasad BLV. Synthesis of silver nanoparticles by sophorolipids: Effect of temperature and sophorolipid structure on the size of particles. Journal of Chemical Sciences. 2008;120(6):515-20.
  30. Jiang XC, Chen WM, Chen CY, Xiong SX, Yu AB. Role of Temperature in the Growth of Silver Nanoparticles Through a Synergetic Reduction Approach. Nanoscale Res Lett. 2011;6(1):32.
  31. Peer Review #1 of "Green synthesis of silver nanoparticles in aloe vera plant extract prepared by a hydrothermal method and their synergistic antibacterial activity (v0.1)". PeerJ; 2015.
  32. Pris M. Influence of different parameters on wet synthesis of silver nanoparticles (Bachelor's thesis, University of Twente).
  33. Vanaja M, Rajeshkumar S, Paulkumar K, Gnanajobitha G, Malarkodi C, Annadurai G. Kinetic study on green synthesis of silver nanoparticles using Coleus aromaticus leaf extract. Adv. Appl. Sci. Res. 2013;4(3):50-5.
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