Enhancing photodegradation of 2,4,6 trichlorophenol and organic pollutants in industrial effluents using nanocomposite of TiO2 doped with reduced graphene oxide
Autor: | Siliem M. El-Sayed, Khairia M. Al-Qahtani, Mohamed H. H. Ali |
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Rok vydání: | 2019 |
Předmět: |
Trichlorophenol
010501 environmental sciences Aquatic Science Oceanography 01 natural sciences lcsh:Aquaculture. Fisheries. Angling Catalysis Industrial wastewater treatment symbols.namesake chemistry.chemical_compound Adsorption Photodegradation lcsh:Environmental sciences Ecology Evolution Behavior and Systematics 0105 earth and related environmental sciences Water Science and Technology lcsh:SH1-691 lcsh:GE1-350 Chemistry Langmuir adsorption model 04 agricultural and veterinary sciences 2 4 6-Trichlorophenol 040102 fisheries symbols Photocatalysis 0401 agriculture forestry and fisheries Nuclear chemistry |
Zdroj: | Egyptian Journal of Aquatic Research, Vol 45, Iss 4, Pp 321-328 (2019) |
ISSN: | 1687-4285 |
DOI: | 10.1016/j.ejar.2019.08.003 |
Popis: | The present study investigated the applicability of synthesized TiO2@rGO photocatalyst for degradation of organic pollutants from industrial wastewater and photodegradation of 2,4,6 trichlorophenol (2,4,6 TCP) under UV irradiation. The results showed a high reduction in COD and TOC values of industrial effluents reaching 85% and 82%, respectively. Effects of several factors on the photodegradation process such as pH of the solution, TCP initial concentration, irradiation time and catalyst dose were studied. The results proved a high relationship between pH of the solution and the adsorption capacity. The maximum degradation ratio reached up to 90% at pH 6 at the initial concentration of TCP of 50 mg/l when exposed to UV irradiation for 180 min and 0.4 g/L catalyst dose. Kinetic studies indicated that the adsorption process obeyed pseudo-second order model with qe values ranging between 22.0 and 22.7 mg/L and R2 > 0.99. Isotherm model studies showed a good fit with the Langmuir model better than Freundlich model. Keywords: Reduced graphene oxide, Photodegradation, Industrial effluents TCP, TiO2 |
Databáze: | OpenAIRE |
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