10.1007/s40097-017-0216-7

Preparation and characterization of nano-spherical CoFe2O4 supported on copper slag as a catalyst for photocatalytic degradation of 2-nitrophenol in water

  1. Department of Chemistry, Arak Branch, Islamic Azad University, Arak, IR
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Published in Issue 02-02-2017

How to Cite

Zeynolabedin, R., & Mahanpoor, K. (2017). Preparation and characterization of nano-spherical CoFe2O4 supported on copper slag as a catalyst for photocatalytic degradation of 2-nitrophenol in water. Journal of Nanostructure in Chemistry, 7(1 (March 2017). https://doi.org/10.1007/s40097-017-0216-7

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Abstract

Abstract In this research, new catalyst prepared by supporting CoFe 2 O 4 on copper slag (CS) and characterization of this catalyst was done with using scanning electron microscopy image, energy-dispersive X-ray spectroscopy, BET surface area, and X-ray diffraction patterns. UV + H 2 O 2 processes by CoFe 2 O 4 /CS as a photocatalyst was used for degradation of 2-nitrophenol (2NP) as a pollutant in water. Response surface methodology in the Basis of a three-variable Box–Behnken design was applied to determine the effect of pH values (4, 7 and 10), concentration of 2-nitrophenol (10, 20 and 30 ppm), and concentration of H 2 O 2 (30, 60 and 90 ppm) on the levels of response and optimized these operational parameters. The optimal conditions were determined as pH = 10, concentration of 2-nitrophenol = 10 ppm, and concentration of H 2 O 2  = 90 ppm. Degradation efficiency in optimal condition was 96.55%.

Keywords

  • Photodegradation,
  • CoFe2O4,
  • Copper slag,
  • Box–Behnken,
  • Response surface methodology

References

  1. Locharoenrat (2014) Review article: recent advances in nanomaterial fabrication (pp. 1-6)
  2. Ahmed et al. (2010) Heterogeneous photocatalytic degradation of phenols in wastewater: a review on current status and developments (pp. 3-18) https://doi.org/10.1016/j.desal.2010.04.062
  3. Chen and Mao (2007) Titanium dioxide nanomaterials: synthesis, properties, modifications, and applications 107(7) (pp. 2891-2959) https://doi.org/10.1021/cr0500535
  4. Erik Casbeer et al. (2012) Synthesis and photocatalytic activity of ferrites under visible light: A review (pp. 1-14) https://doi.org/10.1016/j.seppur.2011.11.034
  5. El-Shobaky et al. (2010) Effect of preparation condition on physicochemical, surface and catalytic properties of cobalt ferrite prepared by coprecipitation (pp. 415-422) https://doi.org/10.1016/j.jallcom.2009.12.115
  6. Golsefidi et al. (2016) Effects of capping agent and surfactant on the morphology and size of CoFe2O4 nanostructures and photocatalyst properties (pp. 121-126) https://doi.org/10.1007/s40097-015-0186-6
  7. Palmisano et al. (2006) Influence of the substituent on selective photocatalytic oxidation of aromatic compounds in aqueous TiO2 suspensions (pp. 1012-1014) https://doi.org/10.1039/b515853b
  8. Shimizu et al. (2004) Selective photo-oxidation of benzene over transition metal-exchanged BEA zeolite (pp. 75-80) https://doi.org/10.1016/j.apcata.2004.04.001
  9. Sharmaa et al. (2009) Optimization of process variables for decolorization of Disperse Yellow 211 by Bacillus subtilis using Box–Behnken design (pp. 1024-1029) https://doi.org/10.1016/j.jhazmat.2008.08.104
  10. Ferreira et al. (2004) Doehlert matrix: a chemometric tool for analytical chemistry-review (pp. 1061-1067) https://doi.org/10.1016/j.talanta.2004.01.015
  11. Box and Hunter (1957) Multi-factor experimental designs for exploring response surfaces (pp. 195-241) https://doi.org/10.1214/aoms/1177707047
  12. Kansal et al. (2007) Optimization of photocatalytic process parameters for the degradation of 2,4,6-trichlorophenol in aqueous solutions (pp. 787-802) https://doi.org/10.1080/00986440701193803
  13. Ranjan et al. (2011) Bioadsorption of arsenic: an artificial neural networks and response surface methodological approach (pp. 9852-9863) https://doi.org/10.1021/ie200612f
  14. Nelofer et al. (2012) Comparison of the estimation capabilities of response surface methodology and artificial neural network for the optimization of recombinant lipase production by E. coli BL21 (pp. 243-254) https://doi.org/10.1007/s10295-011-1019-3
  15. Annadurai et al. (2000) Photocatalytic decolourization of congo red over ZnO powder using Box–Behnken design of experiments (pp. 167-173) https://doi.org/10.1007/PL00009120
  16. Mourabet et al. (2012) Removal of fluoride from aqueous solution by adsorption on Apatitic tricalcium phosphate using Box–Behnken design and desirability function (pp. 4402-4410) https://doi.org/10.1016/j.apsusc.2011.12.125
  17. Salahi et al. (2013) Nano-porous membrane process for oily wastewater treatment: optimization using response surface methodology (pp. 218-225) https://doi.org/10.1016/j.jece.2013.04.021
  18. Garg et al. (2008) Removal of nickel (II) from aqueous solution by adsorption on agricultural waste biomass using a response surface methodological approach (pp. 1325-1331) https://doi.org/10.1016/j.biortech.2007.02.011
  19. Khataee et al. (2011) Application of response surface methodology in the optimization of photocatalytic removal of environmental pollutants using nanocatalysts (pp. 1669-1684) https://doi.org/10.1080/09593330.2011.597432
  20. Marghussian and Maghsoodipoor (1999) Fabrication of unglazed floor tiles containing Iranian copper slags (pp. 617-622) https://doi.org/10.1016/S0272-8842(98)00075-3
  21. Sing et al. (1985) Reporting physisorption data for gas/solid systems with special reference to the determination of surface area and porosity (pp. 603-619) https://doi.org/10.1351/pac198557040603
  22. Lin et al. (2009) Photocatalytic degradation of methylparaben by TiO2: multivariable experimental design and mechanism (pp. 32-41) https://doi.org/10.1016/j.apcatb.2008.09.026
  23. Gopinath et al. (2010) Sonochemical degradation of Congo red: optimization through response surface methodology (pp. 427-433) https://doi.org/10.1016/j.cej.2009.12.002
  24. Sharmaa et al. (2009) Optimization of process variables for decolorization of Disperse Yellow 211 by Bacillus subtilis using Box–Behnken design (pp. 1024-1029) https://doi.org/10.1016/j.jhazmat.2008.08.104
  25. Sangal et al. (2012) Optimization of structural and operational variables for the energy efficiency of a divided wall distillation column (pp. 33-40) https://doi.org/10.1016/j.compchemeng.2012.01.015
  26. Mrowetz and Selli (2006) Photocatalytic degradation of formic and benzoic acids and hydrogen peroxide evolution in TiO2 and ZnO water suspension (pp. 15-22) https://doi.org/10.1016/j.jphotochem.2005.09.009
  27. Kansal et al. (2007) Parametric optimization of photocatalytic degradation of catechol in aqueous solution by response surface methodology (pp. 145-153)
  28. Nordin et al. (2004) Application of response surface methodology in describing the performance of coated carbide tools when turning AISI 104 steel (pp. 46-58) https://doi.org/10.1016/S0924-0136(03)00861-6
  29. Rauf et al. (2008) Photolytic decolorization of Rose Bengal by UV/H2O2 and data optimization using response surface method (pp. 602-609) https://doi.org/10.1016/j.jhazmat.2008.02.098
  30. Cho and Zoh (2007) Photocatalytic degradation of azo dye (Reactive Red 120) in TiO2/UV system: optimization and modeling using a response surface methodology (RSM) based on the central composite design (pp. 533-543) https://doi.org/10.1016/j.dyepig.2006.06.041
  31. Korbahti and Rauf (2008) Response surface methodology (RSM) analysis of photoinduced decoloration of toludine blue (pp. 25-30) https://doi.org/10.1016/j.cej.2007.03.007
  32. Sakkas et al. (2010) Photocatalytic degradation using design of experiments: a review and example of the Congo red degradation (pp. 33-44) https://doi.org/10.1016/j.jhazmat.2009.10.050