Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.13091/5395
Title: Fabrication and characterization of Halloysite–Fe3O4–Ag nanocomposite as efficient catalyst for metronidazole degradation by using sodium borohydride: Artificial neural network modeling
Authors: Altun, T.
Ecevit, H.
Keywords: Antibiotic
Artificial neural network
Fe3O4
Halloysite
Nanotube
Silver
Carbon nanotubes
Chlorine compounds
Kaolinite
Magnetite
Nanocatalysts
Nanocomposites
Neural networks
Precipitation (chemical)
Silver compounds
Silver nanoparticles
Sodium Borohydride
Artificial neural network modeling
Coprecipitation method
Efficient catalysts
Fabrication and characterizations
Halloysite
Halloysite nanotubes
Metronidazole
Sodium boro hydrides
Sodium borohydrides
]+ catalyst
Antibiotics
Publisher: Elsevier Ltd
Abstract: In this work, halloysite–Fe3O4–Ag nanocomposite produced by doping Fe3O4 and Ag nanoparticles on the surface of halloysite nanotube after activation with HCl by co-precipitation method was used as a catalyst for the catalytic degradation of metronidazole antibiotic with sodium borohydride. The physical and chemical structure of synthesized nanocomposite were characterized by pHpzc, FTIR, XRD, SEM/EDX and TGA. The degradation process of metronidazole antibiotic with sodium borohydride in the presence of nanocomposite catalyst was investigated. According to this, metronidazole removal efficiency was determined as %93.1 (as 0.069 in terms of Ct/C0) at the end of 120-min contact time under determined optimum conditions (pH 7, 10 mM NaBH4 concentration, 2 g/L catalyst dosage, 25 °C temperature) for 30 ppm metronidazole solution. In the pH range in which the process is applied, metronidazole is in anionic form in solution. The used nanocomposite was efficiently recycled and it was determined that it could be reused at least 6 times as a catalyst. Moreover, the process was modeled with Artificial Neural Networks approach. Finally, it was revealed with HPLC analysis that metronidazole was converted into different products as a result of applied process. © 2024 Elsevier B.V.
URI: https://doi.org/10.1016/j.matchemphys.2024.129145
https://hdl.handle.net/20.500.13091/5395
ISSN: 0254-0584
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collections

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