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Design of Experiments Applied to Antibiotics Degradation by Fenton's Reagent

In: Statistical Approaches With Emphasis on Design of Experiments Applied to Chemical Processes

Author

Listed:
  • Andre Luis De Castro Peixoto
  • Mateus Nordi Esperanca
  • Rodrigo Fernando Dos Santos Salazar
  • Ademir Geraldo Cavallari Costalonga

Abstract

Advanced oxidation technologies (AOTs) are processes affected by a large number of parameters such as iron (Fe2+) and H2O2 concentrations, pH, temperature, light intensity and chemical composition (organics and inorganics). In addition, for different industrial chemical processes, there are different effluents, which greatly vary in chemical composition from each other, not allowing a unique approach for all of them. Thus, it is necessary to adjust AOT parameters to the specific effluent to be treated. In such context, statistical design of experiments (DoE) and response surface methodology (RSM) emerge as important and widely used tools to determine the effects of multiple variables on wastewater treatment processes such as photo-Fenton. A revision of academic studies based on degradation of antibiotics-containing effluents is presented. The chapter also presents commercial cases of AOT and electrical efficiency considerations.

Suggested Citation

  • Andre Luis De Castro Peixoto & Mateus Nordi Esperanca & Rodrigo Fernando Dos Santos Salazar & Ademir Geraldo Cavallari Costalonga, 2018. "Design of Experiments Applied to Antibiotics Degradation by Fenton's Reagent," Chapters, in: Valter Silva (ed.), Statistical Approaches With Emphasis on Design of Experiments Applied to Chemical Processes, IntechOpen.
    • Handle: RePEc:ito:pchaps:115557
    DOI: 10.5772/68097
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    Keywords

    design of experiments; planning of experiments; optimization; advanced oxidation technology; Fenton's reagent; pharmaceutic compounds; full scale; figures-of-merit electrical efficiency;
    All these keywords.

    JEL classification:

    • C60 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - General

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