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Advances in disinfection testing and modelling.

R J Lambert1

  • 1Unilever Research Colworth, Sharnbrook, UK. ronnie.lambert@unilever.com

Journal of Applied Microbiology
|July 28, 2001
PubMed
Summary
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New "fat equations" provide a more accurate kinetic description of the disinfection process, improving upon existing models and potentially revising our understanding of microbial inhibition. This advancement aids in analyzing disinfection rates and specific time tests.

Area of Science:

  • Microbiology
  • Biophysics
  • Chemical Kinetics

Background:

  • Current disinfection models often fail to capture the complexities of microbial inactivation.
  • Non-linear log-survivor–time plots, characterized by lags and tails, are not adequately represented by traditional models.

Purpose of the Study:

  • To develop advanced kinetic equations for a more precise description of the disinfection process.
  • To introduce a model that accounts for limitations in the number of microorganisms that can be disinfected.

Main Methods:

  • Development of a novel set of functions, termed "fat equations," based on microbial inhibition models.
  • Concomitant development of an optical density technique for improved experimental data acquisition in disinfection studies.

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Main Results:

  • The proposed "fat equations" offer a more generalized framework compared to existing disinfection models like the log-linear model.
  • These equations successfully accommodate non-linear disinfection kinetics, including lag phases and tailing effects.
  • The new model introduces a quantifiable limit to the number of microorganisms effectively disinfected.

Conclusions:

  • The developed "fat equations" represent an improvement over conventional disinfection rate models.
  • The study suggests that current understanding of the kinetic basis of disinfection may require revision.
  • The analytical methods enable more robust examination of specific-time disinfection tests and overall disinfection rate analyses.