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  4. Effect of temperature on the growth of Staphylococcus aureus in ready-to-eat cooked rice with pork floss
 
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Effect of temperature on the growth of Staphylococcus aureus in ready-to-eat cooked rice with pork floss

Journal
Food Microbiology
Journal Volume
89
Date Issued
2020-08
Author(s)
KUAN-HUNG LU  
Sheen, Yi-Jyun
Huang, Tsui-Ping
Kao, Shu-Hui
Cheng, Chun-Lung
Hwang, Cheng-An
Sheen, Shiowshuh
Huang, Lihan
LEE-YAN SHEEN  
DOI
10.1016/j.fm.2019.103374
URI
https://scholars.lib.ntu.edu.tw/handle/123456789/490957
URL
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85077992023&doi=10.1016%2fj.fm.2019.103374&partnerID=40&md5=beccfbc72b6158e448c50cca350da35d
Abstract
Cooked rice with pork floss (CRPF) wrapped in dried seaweed is one of the most popular ready-to-eat (RTE) foods in many Asian countries, particularly in Taiwan. The products are susceptible to Staphylococcus aureus contamination and temperature abuse during manufacturing, distribution, and storage. The objective of this study was to examine the effect of temperature on its growth in RTE CRPF for use in risk assessment and prevention of staphylococcal food poisoning (SFP). Inoculated CRPF samples were stored at 4, 12, 18, 25, and 35°C, and the change in the populations of S. aureus during storage were analyzed using three primary models to determine specific growth rate (μmax), lag-phase duration (λ), and maximum population density (ymax). The Ratkowsky square-root and Huang square-root (HSR) models were used as the secondary models to describe the effect of temperature on μmax, and a linear and an exponential regression models were used to describe the effect of temperature on λ and ymax, respectively. The model performance was evaluated by the root mean square error (RMSE), bias factor (Bf), and accuracy factor (Af) when appropriate. Results showed that three primary models were suitable for describing the growth curves, with RMSE ≤ 0.3 (log MPN/g). Using μmax obtained from the Huang model, the minimum growth temperature (Tmin) estimated by the HSR model was 7.0°C, well in agreement with the reported Tmin. The combination of primary and secondary models for predicting S. aureus growth was validated by additional growth curves at 30°C, which showed that the RMSE was 0.6 (log MPN/g). Therefore, the developed models were acceptable for predicting the growth of S. aureus in CRPF under likely temperature abuse conditions and can be applied to assess the risk of S. aureus in CRPF and design temperature controls to reduce the risk of SFP.
Subjects
IPMP 2013; Predictive microbiology; Rice ball; Staphylococcus aureus
SDGs

[SDGs]SDG3

[SDGs]SDG9

Publisher
ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
Type
journal article

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