• 文献标题:   Simultaneous adsorption-photocatalytic degradation of tetracycline by CdS/TiO2 nanosheets/graphene nanocomposites: Experimental study and modeling
  • 文献类型:   Article
  • 作  者:   FIROUZI F, PIRBAZARI AE, SARAEI FEK, TABATABAIYAZDI FS, ESMAEILI A, KHODAEE Z
  • 作者关键词:   adsorptionphotocatalytic degradation, tetracycline, artificial intelligence, modeling
  • 出版物名称:   JOURNAL OF ENVIRONMENTAL CHEMICAL ENGINEERING
  • ISSN:   2213-2929 EI 2213-3437
  • 通讯作者地址:  
  • 被引频次:   2
  • DOI:   10.1016/j.jece.2021.106795 EA NOV 2021
  • 出版年:   2021

▎ 摘  要

In the present study, binary nanocomposites were prepared by hydrothermal growth of titanium dioxide nanosheets (TNs) on different amounts (5, 10, and 15 mg) of monolayer graphene oxide (TNs/rGO(x)). Cadmium sulfide (CdS) nanoparticles with various Cd/Ti molar ratios (0.35, 0.70, 1.40) were impregnated on the TNs/rGO (x) samples by the hydrothermal procedure. The formation of anatase phase for TNs, reduction of graphene oxide, and synthesis of CdS nanoparticles were proved by powder x-ray diffraction (PXRD) and Raman analyses. The photoluminescence (PL) and diffuse reflectance spectroscopy (DRS) analyses showed that the simultaneous presence of rGO and CdS in the synthesized samples decreased the electron-hole recombination and extended the spectral response of TNs to the visible light region. The highest obtained percentage removal of tetracycline (TC) (as a pharmaceutical pollutant model) was 84% under 180 min of visible light irradiation in the presence of the CdS-TNs/rGO(5) sample. Active species scavenging tests showed that O-2(center dot-) was major active species in the removal process. In addition, the application of artificial neural network (ANN) and adaptive neuro-fuzzy inference system (ANFIS) in modeling the removal of tetracycline (TC) was evaluated in this study. The experimental results confirmed that the integration between adsorption and photocatalysis processes leads to a significant impact on the removal of TC.