Literature DB >> 30086522

Photocatalytic degradation of sulfamethoxazole by hierarchical magnetic ZnO@g-C3N4: RSM optimization, kinetic study, reaction pathway and toxicity evaluation.

Amir Mirzaei1, Laleh Yerushalmi1, Zhi Chen2, Fariborz Haghighat1.   

Abstract

The degradation of sulfamethoxazole (SMX) by a synthesized hierarchical magnetic zinc oxide based composite ZnO@g-C3N4 (FZG) was examined. Hierarchical FZG was synthesized by using Fe3O4 nanoparticle as the magnetic core and urea as the precursor for in situ growth of g-C3N4 on the surface of petal-like ZnO. The effect of catalyst dosage (0.4-0.8 g/L), solution pH (3-11) and airflow rate (0.5-2.5 L/min) on the SMX removal efficiency and the optimization of process was studied by response surface methodology (RSM) based on central composite design (CCD). The obtained RSM model with R2 = 0.9896 showed a satisfactory correlation between the predicted values and experimental results of SMX removal. Under the optimum conditions, i.e. 0.65 g/L photocatalyst concentration, pH = 5.6 and airflow rate = 1.89 L/min, 90.4% SMX removal was achieved after 60 min reaction. The first-order kinetic rate constant for SMX removal by using FZG was 0.0384 min-1 while the rate constant by commercial ZnO was 0.0165 min-1. Moreover, under the optimum conditions, about 64% COD removal and 45% TOC removal and a considerable reduction in toxicity were observed. The analysis of generated intermediates during the photocatalytic degradation of SMX was conducted by LC-HR-MS/MS method and a degradation pathway was proposed.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  By-product; Hierarchical photocatalyst; Response surface methodology; Sulfamethoxazole; Toxicity

Year:  2018        PMID: 30086522     DOI: 10.1016/j.jhazmat.2018.07.077

Source DB:  PubMed          Journal:  J Hazard Mater        ISSN: 0304-3894            Impact factor:   10.588


  1 in total

1.  Photocatalytic degradation of swine wastewater on aqueous TiO2 suspensions: optimization and modeling via Box-Behnken design.

Authors:  Bruno B Garcia; G Lourinho; P Romano; P S D Brito
Journal:  Heliyon       Date:  2020-01-31
  1 in total

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