Predictive modeling for hot water inactivation of planktonic and biofilm-associated Sphingomonas parapaucimobilis to support hot water sanitization programs

Hot water sanitization is a common means to maintain microbial control in process equipment for industries where microorganisms can degrade product or cause safety issues. This study compared the hot water inactivation kinetics of planktonic and biofilm-associated Sphingomonas parapaucimobilis at te...

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Bibliographic Details
Published in:Biofouling (Chur, Switzerland) Switzerland), 2016-08, Vol.32 (7), p.751-761
Main Authors: (Kaatz) Wahlen, Laura, Parker, Al, Walker, Diane, Pasmore, Mark, Sturman, Paul
Format: Article
Language:English
Subjects:
Bacteria
Biofilm
Biofilms
Biofilms - growth & development
Colony Count, Microbial
Hot Temperature
Hot water
Inactivation
Kinetics
Mathematical models
Microorganisms
Modelling
Models, Biological
Models, Statistical
Nonlinearity
Plankton - physiology
planktonic
Sanitation
sanitization
Sphingomonas
Sphingomonas - physiology
Water - chemistry
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Summary:Hot water sanitization is a common means to maintain microbial control in process equipment for industries where microorganisms can degrade product or cause safety issues. This study compared the hot water inactivation kinetics of planktonic and biofilm-associated Sphingomonas parapaucimobilis at temperatures relevant to sanitization processes used in the pharmaceutical industry, viz. 65, 70, 75, and 80°C. Biofilms exhibited greater resistance to hot water than the planktonic cells. Both linear and nonlinear statistical models were developed to predict the log reduction as a function of temperature and time. Nonlinear Michaelis-Menten modeling provided the best fit for the inactivation data. Using the model, predictions were calculated to determine the times at which specific log reductions are achieved. While ≥80°C is the most commonly cited temperature for hot water sanitization, the predictive modeling suggests that temperatures ≥75°C are also effective at inactivating planktonic and biofilm bacteria in timeframes appropriate for the pharmaceutical industry.
ISSN:0892-7014
1029-2454
DOI:10.1080/08927014.2016.1192155