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Response Surface Model for the Estimation of Escherichia coli O 157:H7 Growth under Different Experimental Conditions
Author(s) -
GarcíaGimeno Rose Maria,
Barco Elena,
Rincón Francisco,
ZureraCosano Gonzalo
Publication year - 2005
Publication title -
journal of food science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.772
H-Index - 150
eISSN - 1750-3841
pISSN - 0022-1147
DOI - 10.1111/j.1365-2621.2005.tb09043.x
Subject(s) - anaerobic exercise , response surface methodology , growth rate , nitrite , lag , chemistry , escherichia coli , mean squared prediction error , sodium , sodium nitrite , lag time , chromatography , mathematics , food science , biology , biochemistry , biological system , statistics , physiology , computer network , geometry , organic chemistry , computer science , gene , nitrate
In this study, a Response Surface Model (RSM) of Escherichia coli O157:H7 as affected by pH levels, sodium chloride and nitrite concentrations, temperature, and aerobic/anaerobic conditions is presented. The standard error of prediction (%SEP) obtained was acceptable for the growth rate prediction (33%SEP), although a bit high for lag time (53.01 %SEP). Mathematical validation demonstrated that the RSM predicts growth rate values on the fail‐safe side in aerobic conditions and within the acceptable range (bias factor [Bf] = 0.99) with acceptable accuracy (accuracy factor [Af] = 1.15), as well as for lag time (Bf = 1.05; Af = 1.25). Temperature was found to have the greatest effect on the kinetic parameters, followed by NaCl concentration and pH. In the experimental range considered here (0 to 200 ppm), NaNO 2 concentration was found to have a significant effect on growth rate but not on lag time.