Literature DB >> 32138980

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

Kuan-Hung Lu1, Yi-Jyun Sheen1, Tsui-Ping Huang2, Shu-Hui Kao1, Chun-Lung Cheng3, Cheng-An Hwang4, Shiowshuh Sheen4, Lihan Huang4, Lee-Yan Sheen5.   

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.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  IPMP 2013; Predictive microbiology; Rice ball; Staphylococcus aureus

Year:  2019        PMID: 32138980     DOI: 10.1016/j.fm.2019.103374

Source DB:  PubMed          Journal:  Food Microbiol        ISSN: 0740-0020            Impact factor:   5.516


  3 in total

1.  Surveillance of foodborne diseases in Taiwan: A retrospective study.

Authors:  Chia-Peng Yu; Yu-Ching Chou; Ding-Chung Wu; Chun-Gu Cheng; Chun-An Cheng
Journal:  Medicine (Baltimore)       Date:  2021-02-05       Impact factor: 1.817

2.  Analysis and mathematical modeling of the survival kinetics of Staphylococcus aureus in raw pork under dynamic and static temperature conditions.

Authors:  Xue Bai; Ying Xu; Yong Shen; Na Guo
Journal:  Food Sci Nutr       Date:  2021-10-08       Impact factor: 2.863

3.  Evaluation of the Stress Tolerance of Salmonella with Different Antibiotic Resistance Profiles.

Authors:  Xingning Xiao; Biao Tang; Siyi Liu; Yujuan Suo; Hua Yang; Wen Wang
Journal:  Biomed Res Int       Date:  2021-09-14       Impact factor: 3.411

  3 in total

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