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Appl. Environ. Microbiol., Apr 1997, 1237-1243, Vol 63, No. 4
TM Ng and DW Schaffner
Estimating the shelf life and safety of any food product is an important
part of food product development. Predictive food microbiology reduces the
time and expense associated with conventional challenge and shelf life
testing. The purpose of this study was to characterize and model
germination, outgrowth, and lag (GOL) time and the exponential growth rate
(EGR) of Bacillus stearothermophilus in salty carrot medium (SCM) as a
function of pH, temperature, and NaCl concentration. B. stearothermophilus
is a spore-forming thermophilic organism associated with flat sour spoilage
of canned foods. A split-split plot design was used to measure the effects
and interactions of pH (5.5 to 7.0), temperature (45 to 60(deg)C), and NaCl
(0 to 1%) on the growth kinetics of B. stearothermophilus in SCM. A total
of 96 experiments were analyzed, with individual curve parameters
determined by using the Gompertz equation. Quadratic polynomial models for
GOL time and EGR of B. stearothermophilus in terms of temperature, pH, and
NaCl were generated by response surface analysis. The r(sup2) values for
the GOL time and EGR models were 0.917 and 0.916, respectively. These
models provide an estimate of bacterial growth in response to combinations
of the variables studied within the specified ranges. The models were used
to predict GOL times and EGRs for additional experimental conditions. The
accuracy of these predictions validated the model's predictive ability in
SCM.
Copyright © 1997, American Society for Microbiology
Mathematical Models for the Effects of pH, Temperature, and Sodium Chloride on the Growth of Bacillus stearothermophilus in Salty Carrots
Rutgers, The State University of New Jersey, New Brunswick, New Jersey 08903-0231
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