Photocatalytic deposition of cobalt atoms on two-dimensional nanocomposites as efficient visible-light-driven photocatalysts: Experimental study and intelligent modeling

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作者
Heydari Shalmani, Salar [1 ,2 ]
Ebrahimian Pirbazari, Azadeh [1 ]
Esmaeili Khalil Saraei, Fatemeh [2 ]
Tabatabai-Yazdi, Fatemeh-Sadat [1 ,2 ]
Derakhshesh, Ali [2 ]
Esmaeili, Amin [3 ]
Ebrahimain pirbazari, Ali [4 ]
机构
[1] Hybrid Nanomaterials & Environment Lab, Fouman Faculty of Engineering, College of Engineering, University of Tehran, Fouman,43581-39115, Iran
[2] Data Mining Research Group, Fouman Faculty of Engineering, College of Engineering, University of Tehran, Fouman,43581-39115, Iran
[3] Department of Chemical Engineering, School of Engineering Technology and Industrial Trades, College of the North Atlantic-Qatar, 24449 Arab League St, Doha, Qatar
[4] Environment Lab, Eshtehard Industrial Park, Eshtehard,Alborz,31881336, Iran
关键词
Cobalt atoms - Intelligent models - Pharmaceutical pollutant - Photocatalytic deposition - Reduced graphene oxides - TiO 2 - Two-dimensional - Two-dimensional nanocomposites - Two-dimensional photocatalyst - Visible light driven photocatalysts;
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摘要
In this work, two-dimensional (2D) based photocatalysts containing TiO2 nanosheets (TNs) and reduced graphene oxide (rGO(x)) were fabricated using a hydrothermal method. Various quantities of cobalt atoms were deposited on TNs/rGO(x) by the photocatalytic deposition method (Co(y)/TNs/rGO(x)). The results of XRD and Raman spectroscopy analyses showed that the TNs have a pure anatase phase and graphene oxide was adequately reduced during the hydrothermal condition. Based on the DRS analysis, it was observed that the band gap energy of the synthesized samples was decreased compared to the one for pure TNs. The highest photocatalytic activity was obtained by the Co(76)/TNs/rGO(5) sample with 71.5% degradation of tetracycline (TC) (30 mg/L) under the visible light after 180 min. The active species scavenging tests also showed that OH• and h+ were the main species involved in the degradation of TC. The Co(76)/TNs /rGO(5) sample recovery and reusage experiments did not show a significant reduction in the photocatalytic performance after five consecutive cycles. Finally, the Artificial Neural Network (ANN) and Adaptive Neuro-Fuzzy Inference System (ANFIS) models were developed to predict the photocatalytic degradation performance of the fabricated photocatalysts. Both the experimental and modeling results confirmed that the 2D-based photocatalysts developed in this study can be considered as promising candidates for wastewater treatment applications. © 2022 Elsevier B.V.
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