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https://hdl.handle.net/20.500.13091/4948
Title: | Synthesis and characterization of MIL-101 (Fe) as efficient catalyst for tetracycline degradation by using NaBH4: Artificial neural network modeling | Authors: | Edebali, S. | Keywords: | ANN Catalyst Degradation MOF Tetracycline |
Publisher: | Elsevier B.V. | Abstract: | In this work, Fe-based metal organic framework (MIL-101 (Fe) MOF) was synthesized to use it as a catalyst for the catalytic degradation of tetracycline antibiotic with NaBH4. The synthesized MOF were characterized by Fourier Transform Infrared Spectroscopy, X-ray Diffraction, Scanning Electron Microscopy/Electron Dispersive X-ray and point of zero charge pH analysis. The effects of parameters such as contact time, pH, NaBH4 concentration and the amount of catalyst on the removal process were investigated and optimum parameters were determined. According to this, tetracycline removal efficiency was determined as 0.180 in terms of Ct/C0 at the end of 60-min contact time under determined optimum conditions for 60 ppm tetracycline solution. Moreover, the process was modeled with Artificial Neural Networks approach by using empirical results obtained from where process parameters were investigated. Finally, it was revealed with HPLC analysis that tetracycline was converted into different products as a result of applied process. © 2023 | URI: | https://doi.org/10.1016/j.apsadv.2023.100496 https://hdl.handle.net/20.500.13091/4948 |
ISSN: | 2666-5239 |
Appears in Collections: | Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collections WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collections |
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