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Cited 5 time in webofscience Cited 8 time in scopus
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Modeling the combined effect of temperature and relative humidity on Escherichia coli O157:H7 on lettuce

Authors
Wang, JunMembre, Jeanne-MarieHa, Sang-DoBahk, Gyung-JinChung, Myung-SubChun, Hyang-SookHwang, In-GyunOh, Deog-Hwan
Issue Date
Jun-2012
Publisher
KOREAN SOCIETY FOOD SCIENCE & TECHNOLOGY-KOSFOST
Keywords
Escherichia coli O157:H7; predictive microbiology; temperature; relative humidity; lettuce
Citation
FOOD SCIENCE AND BIOTECHNOLOGY, v.21, no.3, pp 859 - 865
Pages
7
Journal Title
FOOD SCIENCE AND BIOTECHNOLOGY
Volume
21
Number
3
Start Page
859
End Page
865
URI
https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/20299
DOI
10.1007/s10068-012-0111-4
ISSN
1226-7708
2092-6456
Abstract
The effect of relative humidity (RH) and temperature on the microbial behavior of Escherichia coli O157:H7 on lettuce was investigated. Experimental data obtained under different combined conditions of RH (60, 70, and 80%) and temperature (15, 25, and 35A degrees C) were fitted into the Logistic model with delay to estimate specific growth rate (SGR) with high coefficients of determination (R (2)s > 0.98). The estimated SGR values were used to develop a Gamma-concept model. Then, several statistic characteristics were employed to verify the performance and reliability of the developed model, which demonstrated that the predictive model was not biased and had high accuracy in prediction. Besides, the analysis of relative importance of temperature and RH indicated that temperature is much more influential on the growth of E. coli O157:H7 on lettuce than the ambient RH changes.
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