Degradation kinetics of organic matter in dairy industry wastewater by flotation/ozonation processes

Authors

  • Marta Cristina Silva Carvalho Universidade Federal de Viçosa
  • Alisson Carraro Borges Universidade Federal de Viçosa
  • Magno dos Santos Pereira Universidade Federal de Viçosa
  • Fernanda Fernandes Heleno Universidade Federal de Viçosa
  • Lêda Rita Dantonino Faroni Universidade Federal de Viçosa
  • Luiza Cintra Campos University College London

DOI:

https://doi.org/10.14393/BJ-v34n3a2018-37009

Keywords:

asymptotic model, Chan and Chu model, AOP

Abstract

This study evaluated the adjustment of four kinetic models and their respective parameters on data of dairy wastewater treatment by the physico-chemical process of flotation and ozonation. The experiment was implemented during the year 2014, with all the tests in triplicate. The treatments were carried out at different pH levels (3.6, 7.0 and 10.4), and flotation/ozonation was catalyzed by manganese (Mn2+) in neutral level (pH 7.0). Best removal efficiencies for chemical oxygen demand (COD) were obtained in acidic medium, with removals greater than 75% after 20 min of treatment. There was no significant difference with regards to addition of Mn2+ on COD removal by the physico-chemical process. The kinetic models that best fit to the experimental data, for all treatments, were the asymptotic (residual) model and that of Chan and Chu. Treatment in acidic medium showed the highest values of the kinetic parameters for the adjusted model, obtaining a k coefficient equal to 0.2394 min-1 for the asymptotic model and kinetic coefficient 1/Ï of 0.4816 min-1 for the Chan and Chu model, both presenting a determination coefficient greater than 99%.

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Published

2018-05-30

How to Cite

CARVALHO, M.C.S., BORGES, A.C., PEREIRA, M. dos S., HELENO, F.F., FARONI, L.R.D. and CAMPOS, L.C., 2018. Degradation kinetics of organic matter in dairy industry wastewater by flotation/ozonation processes . Bioscience Journal [online], vol. 34, no. 3, pp. 587–594. [Accessed28 November 2022]. DOI 10.14393/BJ-v34n3a2018-37009. Available from: https://seer.ufu.br/index.php/biosciencejournal/article/view/37009.

Issue

Section

Agricultural Sciences