3.8 Article

Secondary Modeling and Strain Variability of Listeria monocytogenes Isolated from Seafood and Clinical Samples at Various Environmental Conditions Using High-Throughput Turbidity Method

Journal

APPLIED FOOD BIOTECHNOLOGY
Volume 8, Issue 3, Pages 225-236

Publisher

SHAHID BEHESHTI UNIV MEDICAL SCIENCES, FAC MED
DOI: 10.22037/afb.v8i3.33746

Keywords

Bioscreen; Growth rate; lactic acid; Listeria innocua; NaCl; Undissociated

Funding

  1. National Nutrition and Food Technology Research Institute, Shahid Behehsti University of Medical Sciences

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This study evaluated the kinetic behaviors of Listeria monocytogenes and Listeria innocua strains from various sources under different pH and salinity conditions. Results showed that variability of maximum specific growth rates increased in unfavorable growth environments, with models demonstrating relationships between growth rate and environmental conditions established.
Background and Objective: Variability of foodborne pathogens plays important roles in microbial risk assessment. In the present study, kinetic behaviors of seven Listeria monocytogenes and two Listeria innocua strains from various sources were assessed at various pH (4.5, 5.0, 5.5, 6.8 and 7.0) and salinity (0.5, 2.5, 3.5, 5, 7 and 10% NaCl). Material and Methods: Maximum specific growth rates (mu(max)) were assessed using Bioscreen C (time-to-detection method). Nearly 1500 curves were produced for Listeria monocytogenes and Listeria innocua strains and secondary models were developed for the bacteria as a function of NaCl, pH, temperature and undissociated lactic acid concentrations. Results and Conclusion: Variability of mu(max) enhanced as the growth environment became unfavorable. Coefficient of variation of mu(max) in Listeria monocytogenes strains were 6.5 and 20% at 0.5 and 7.5% NaCl (pH 7.26), respectively. After selecting the most robust strain, models demonstrating relationships between the growth rate and environmental conditions (NaCl, pH and undissociated form of lactic acid) were generated using Origin 2018 Software and polynomial and nonlinear surface fitting. In conclusion, intraspecies variability of the growth kinetic behaviors and developed models based on the worst case (e.g., the most robust Listeria monocytogenes strain) include important uses in food industries.

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