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Modelling the simultaneous processes occurring during the BOD(5) test using synthetic waters as a pattern.

María J Martín1, Francisco J Burguillo, William G Bardsley

  • 1Departamento de Química Física, Facultad de Farmacia, Universidad de Salamanca, España, Spain.

Bioprocess and Biosystems Engineering
|June 12, 2008
PubMed
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The Logistic model accurately describes microbial growth and oxygen consumption kinetics in biochemical oxygen demand (BOD5) tests. This study found the Logistic model sufficient, unlike the Monod model, for predicting these processes.

Area of Science:

  • Environmental microbiology
  • Biochemical engineering
  • Water quality analysis

Background:

  • The biochemical oxygen demand (BOD5) test is crucial for assessing water quality.
  • Accurate kinetic modeling of microbial activity is essential for understanding oxygen depletion in aquatic systems.

Purpose of the Study:

  • To model the kinetic behavior of cell growth, organic matter consumption, and oxygen demand under BOD5 test conditions.
  • To compare the suitability of the Logistic and Monod models for describing these processes.

Main Methods:

  • Synthetic waters mimicking BOD5 conditions were used.
  • Glucose and glutamic acid served as organic substrates with three bacterial species.
  • Simultaneous measurements of cell growth, substrate consumption, and oxygen demand were analyzed over time.

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  • Data were fitted to Logistic and Monod models, with goodness-of-fit analysis.

    • Main Results:

    • The Logistic model demonstrated acceptable accuracy in describing the kinetic behavior within a BOD5 bottle.
    • The Monod model's additional parameter was not statistically justified for these conditions.
    • Logistic model parameters were determined via non-linear regression and biologically interpreted.

    Conclusions:

    • The Logistic model provides a statistically sound and accurate kinetic description for microbial processes in BOD5 tests.
    • Model selection is critical for reliable prediction of oxygen demand in water quality assessments.