Predictive modeling for hot water inactivation of planktonic and biofilm associated Sphingomonas parapaucimobilis to support hot water sanitization programs
Abstract 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 80degC. 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 =80degC is the most commonly cited temperature for hot water sanitization, the predictive modeling suggests that temperatures =75degC are also effective at inactivating planktonic and biofilm bacteria in timeframes appropriate for the pharmaceutical industry.
Biofouling