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Mathematical Modeling for Evaluating Inherent Parameters Affecting UVC Decontamination of Indicator Bacteria.

Phetcharat Jaiaue1, Jirabhorn Piluk2, Kanokon Sawattrakool3

  • 1Program in Biotechnology, Faculty of Science, Chulalongkorn Universitygrid.7922.e, Bangkok, Thailand.

Applied and Environmental Microbiology
|March 15, 2022
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Summary
This summary is machine-generated.

This study shows the Chick-Watson model accurately predicts bacterial inactivation by UVC light. Gram-positive bacteria exhibit higher UVC resistance than Gram-negative bacteria due to their cell wall composition and DNA.

Keywords:
Chick-Watson inactivation modelUVC inactivationWeibull modeldeath kinetic rate constantindicator bacteriamodified Chick-Watson model

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Area of Science:

  • Microbiology and Environmental Science
  • Biophysics and Mathematical Modeling

Background:

  • Ultraviolet (UV) light, particularly UVC, is a critical nonthermal physical decontamination method used globally for microbial inactivation.
  • Traditional methods for determining sufficient UV doses are often unreliable, necessitating accurate kinetic models for effective UV treatment system design.
  • Understanding microbial UVC sensitivity is crucial for public health, especially in light of pandemics and the need for effective pathogen control.

Purpose of the Study:

  • To investigate bacterial inactivation kinetics using a custom-designed UVC apparatus.
  • To evaluate the predictive performance of linear and nonlinear mathematical models, specifically the Chick-Watson, Weibull, and modified Chick-Watson models.
  • To determine the influence of UVC irradiation intensity and bacterial characteristics on inactivation rates.

Main Methods:

  • An in-house UVC apparatus was utilized to irradiate five indicator bacteria: Escherichia coli, Klebsiella pneumoniae, Staphylococcus aureus, Streptococcus faecalis, and Bacillus subtilis.
  • Bacterial inactivation kinetics were modeled using linear and nonlinear mathematical approaches.
  • Statistical analyses were performed to assess the significance of irradiation intensity and bacterial groups on the death rate coefficient (k).

Main Results:

  • The Chick-Watson model demonstrated a superior fit to experimental data for all five tested bacteria compared to Weibull and modified Chick-Watson models.
  • The specific death rate (k) significantly increased with higher UVC irradiation intensity (I).
  • Gram-positive bacteria exhibited higher UVC resistance (higher k values) than Gram-negative bacteria, attributed to their thicker peptidoglycan layer and higher guanine-cytosine (GC) content.

Conclusions:

  • The Chick-Watson model provides a reliable method for predicting bacterial inactivation kinetics under UVC treatment.
  • Bacterial intrinsic factors, including cell wall structure and DNA GC content, significantly influence UVC susceptibility.
  • This research enhances the understanding of UVC-induced bacterial inactivation, aiding in the optimization of UV disinfection systems.