216 Red Oil Wastewater COD Photocatalytic Removal with DOE Method


In this Investigation, photocatalytic process of COD reduction for a real spent caustic wastewater sample(Red Oil),were used with Design of Experiment(DOE)Method. In this Method, Response surface model(RSM) was obtained in the view of a Box-Behnken design (BBD) with four variables as the input factors, i.e. TiO2 loading (g/l), pH, oxidant amount (ppm) and aeration rate (l/min). The optimum quantity of every factor was calculated according to the experimental settings and statistical model parameters. Finally, High COD removal in 90 min (93%) were obtained under optimum conditions.

Keywords: COD, DOE, Photocatalytic Removal, Red Oil Wastewater, TiO2


  • El-Ashtoukhy, E., El-Taweel, Y., Abdelwahab, O., & Nassef, E. (2013). Treatment of petrochemical wastewater containing phenolic compounds by electrocoagulation using a fixed bed electrochemical reactor. Int. J. Electrochem. Sci, 8(1), 1534-1550.
  • Song, J., Wang, X., Bu, Y., Zhang, J., Wang, X., Huang, J., et al. (2016). Preparation, characterization, and photocatalytic activity evaluation of Fe–N-codoped TiO2/fly ash cenospheres floating photocatalyst. [journal article]. Environmental Science and Pollution Research, 1-10, doi:10.1007/s11356-016-7353-2.
  • Wu, Y., Luo, H., & Zhang, L. (2015). Pd nanoparticles supported on MIL-101/reduced graphene oxide photocatalyst: an efficient and recyclable photocatalyst for triphenylmethane dye degradation. [journal article]. Environmental Science and Pollution Research, 22(21), 17238-17243, doi:10.1007/s11356-015-5364-z.
  • Kulkarni, S. J., & Kherde, P. M. (2015). A Review on Advanced Oxidation Method for Waste Water Treatment.
  • Mondal, K., & Sharma, A. (2014). Photocatalytic oxidation of pollutant dyes in wastewater by TiO2 and ZnO nano-materials—a mini-review. inNanoscience & Technology for Mankind, 36-72.
  • Daghrir, R., Drogui, P., & Robert, D. (2013). Modified TiO2 for environmental photocatalytic applications: a review. Industrial & Engineering Chemistry Research, 52(10), 3581-3599.
  • Jedsukontorn, T., Meeyoo, V., Saito, N., & Hunsom, M. (2015). Route of glycerol conversion and product generation via TiO 2-induced photocatalytic oxidation in the presence of H 2 O 2. Chemical Engineering Journal, 281, 252-264.
  • Ozkal, C. B., Koruyucu, A., & Meric, S. (2016). Heterogeneous photocatalytic degradation, mineralization and detoxification of ampicillin under varying pH and incident photon flux conditions. Desalination and Water Treatment, 1-7.
  • Luo, Z., Li, L., Wei, C., Li, H., & Chen, D. (2015). Role of active oxidative species onTi02 photocatalysis of tetracycline and optimization of photocatalytic degradation conditions. Journal of Environmental Biology, 36(4), 837.
  • Uğurlu, M., & Karaoğlu, M. H. (2009). Removal of AOX, total nitrogen and chlorinated lignin from bleached Kraft mill effluents by UV oxidation in the presence of hydrogen peroxide utilizing TiO2 as photocatalyst. Environmental Science and Pollution Research, 16(3), 265-273.
  • Carlos, T. M. S., & Maugans, C. Wet air oxidation of refinery spent caustic: a refinery case study. In NPRA Conference, San Antonio, TX, 2000
  • Sheu, S.-H., & Weng, H.-S. (2001). Treatment of olefin plant spent caustic by combination of neutralization and Fenton reaction. Water Research, 35(8), 2017-2021.
  • Rodriguez, N., Hansen, H. K., Nuñez, P., & Guzman, J. (2008). Spent caustic oxidation using electro-generated Fenton’s reagent in a batch reactor. Journal of Environmental Science and Health Part A, 43(8), 952-960.
  • Nunez, P., Hansen, H. K., Rodriguez, N., Guzman, J., & Gutierrez, C. (2009). Electrochemical generation of Fenton’s reagent to treat spent caustic wastewater. Separation Science and Technology, 44(10), 2223-2233.
  • Yu, Z., Sun, D., Li, C., Shi, P., Duan, X., Sun, G., et al. (2003). UV-catalytic treatment of spent caustic from ethene plant with hydrogen peroxide and ozone oxidation. Journal of Environmental Sciences (China), 16(2), 272-275.
  • Hawari, A., Ramadan, H., Abu-Reesh, I., & Ouederni, M. (2015). A comparative study of the treatment of ethylene plant spent caustic by neutralization and classical and advanced oxidation. Journal of Environmental Management, 151, 105-112.
  • Abdulah, S. S., Hassan, M. A., Noor, Z. Z., & Aris, A. Optimization of photo-Fenton oxidation of sulfidic spent caustic by using response surface methodology. In National Postgraduate Conference (NPC), 2011, 2011 (pp. 1-7): IEEE
  • Chen, C. (2013). Wet air oxidation and catalytic wet air oxidation for refinery spent caustics degradation. Journal of the Chemical Society of Pakistan, 35(2), 244-250.
  • Fathinia, M., Khataee, A., Zarei, M., & Aber, S. (2010). Comparative photocatalytic degradation of two dyes on immobilized TiO 2 nanoparticles: effect of dye molecular structure and response surface approach. Journal of Molecular Catalysis A: Chemical, 333(1), 73-84.
  • Gunst, R. F. (1996). Response surface methodology: process and product optimization using designed experiments. Technometrics, 38(3), 284-286.
  • Antonopoulou, M., Papadopoulos, V., & Konstantinou, I. (2012). Photocatalytic oxidation of treated municipal wastewaters for the removal of phenolic compounds: optimization and modeling using response surface methodology (RSM) and artificial neural networks (ANNs). Journal of Chemical Technology and Biotechnology, 87(10), 1385-1395.
  • Behjoomanesh, M., Keyhani, M., Ganji-azad, E., Izadmehr, M., & Riahi, S. (2015). Assessment of total oil production in gas-lift process of wells using Box–Behnken design of experiments in comparison with traditional approach. Journal of Natural Gas Science and Engineering, 27, 1455-1461.
  • Fox, R. J., Elgart, D., & Davis, S. C. (2009). Bayesian credible intervals for response surface optima. Journal of statistical planning and inference, 139(7), 2498-2501.
  • Sleiman, M., Vildozo, D., Ferronato, C., & Chovelon, J.-M. (2007). Photocatalytic degradation of azo dye Metanil Yellow: optimization and kinetic modeling using a chemometric approach. Applied Catalysis B: Environmental, 77(1), 1-11.
  • Sakkas, V., Calza, P., Medana, C., Villioti, A., Baiocchi, C., Pelizzetti, E., et al. (2007). Heterogeneous photocatalytic degradation of the pharmaceutical agent salbutamol in aqueous titanium dioxide suspensions. Applied Catalysis B: Environmental, 77(1), 135-144.
  • Khataee, A., & Kasiri, M. (2010). Artificial neural networks modeling of contaminated water treatment processes by homogeneous and heterogeneous nanocatalysis. Journal of Molecular Catalysis A: Chemical, 331(1), 86-100.
  • Secula, M., Suditu, G., Poulios, I., Cojocaru, C., & Cretescu, I. (2008). Response surface optimization of the photocatalytic decolorization of a simulated dyestuff effluent. Chemical Engineering Journal, 141(1), 18-26.
  • Habibi, S., Fatemi, Sh., Izadyar, S., Mousavand, T. (2012). TiO2 nanoparticle layer formation on ceramic support, a statistical approach to control influential synthesis parameters. Journal of Powder Technology, 229, 51–60.
  • Rivera-Utrilla, J., Bautista-Toledo, I., Ferro-Garcia, M.A., Moreno-Castilla, C.,(2001) “Activated carbon surface modifications by adsorption of bacteria and their effect on aqueous lead adsorption”, Journal of Chemical Technology and Biotechnology, 76, 1209-1215.
  • Keramati, N., Nasernejad, B., & Fallah, N. (2014). Photocatalytic Degradation of Styrene in Aqueous Solution: Central Composite Design Optimization. Journal of Dispersion Science and Technology, 35(11), 1543-1550.
  • Carranzo, I. V. APHA, AWWA, WEF.” Standard Methods for examination of water and wastewater.”. In Anales de Hidrología Médica, 2012 (Vol. 5, pp. 185-186, Vol. 2)
  • Evans, M. (2003). Optimisation of manufacturing processes: a response surface approach (Vol. 791): Maney Pub.
  • Nazzal, S., & Khan, M. A. (2002). Response surface methodology for the optimization of ubiquinone self-nanoemulsified drug delivery system. AAPS PharmSciTech, 3(1), 23-31.
  • Ranjan, D., Mishra, D., & Hasan, S. (2011). Bioadsorption of arsenic: an artificial neural networks and response surface methodological approach. Industrial & Engineering Chemistry Research, 50(17), 9852-9863.
  • Nelofer, R., Ramanan, R. N., Rahman, R. N. Z. R. A., Basri, M., & Ariff, A. B. (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. Journal of Industrial Microbiology & Biotechnology, 39(2), 243-254.
  • Antonopoulou, M., & Konstantinou, I. (2015). Photocatalytic degradation of pentachlorophenol by visible light Ν–F–TiO2 in the presence of oxalate ions: optimization, modeling, and scavenging studies. Environmental Science and Pollution Research, 22(12), 9438-9448.