Predictive model for the combined effect of temperature, pH, sodium chloride, and sodium pyrophosphate on the heat resistance of Escherichia coli O157 : H7
Vk. Juneja et al., Predictive model for the combined effect of temperature, pH, sodium chloride, and sodium pyrophosphate on the heat resistance of Escherichia coli O157 : H7, J FOOD SAF, 19(2), 1999, pp. 147-160
The effects and interactions of heating temperature (55 - 62.5C), pH (4 - 8
), NaCl (0 - 6%, w/v), and sodium pyrophosphate (0 - 0.3%, w/v) on the heat
resistance of a four strain mixture of Escherichia coli O157:H7 in beef gr
avy were examined. Thermal death times were determined using a submerged co
il heating apparatus. The recovery medium was plate count agar supplemented
with 1% sodium pyruvate. Decimal reduction times (D-values) were calculate
d by fitting a survival model to the data with a curve fitting program. The
D-values were analyzed by second order response surface regression for tem
perature, pH, NaCl and sodium pyrophosphate levels. The four variables inte
racted to affect the inactivation of the pathogen. Thermal resistance of E.
coli O157:H7 can be lowered by combining these intrinsic factors. A mathem
atical model describing the combined effect of temperature, pH, NaCl and so
dium pyrophosphate levels on the thermal inactivation of E. coli O157:H7 wa
s developed. The model can predict D-values for any combinations of tempera
ture, pH, NaCl and sodium pyrophosphate that are within the range of those
tested.