Inactivation and Sublethal Injury Kinetics of Staphylococcus aureus in Broth at Low Temperature Storage

Author:

SUO BIAO12,WANG XIAOJIE1,PAN ZHILI1,WANG NA2,AI ZHILU12,YU SHUIJING3,SALAZAR JOELLE K.4

Affiliation:

1. 1College of Food Science and Technology, Henan Agricultural University, 63 Nongye Road, Zhengzhou 450002, People's Republic of China

2. 2Henan Key Laboratory Cultivation Base of Quick-Frozen Flour-Rice Food and Prepared Food, Henan Agricultural University, 63 Nongye Road, Zhengzhou 450002, People's Republic of China

3. 3Faculty of Resource and Environmental Engineering, Jiangxi University of Science and Technology, No. 86, Hongqi Avenue, Ganzhou, Jiangxi, 341000, People's Republic of China

4. 4U.S. Food and Drug Administration, Institute for Food Safety and Health, 6502 South Archer Road, Bedford Park, Illinois 60501, USA

Abstract

Low temperatures are widely used to ensure food quality and safety. However, sublethally injured Staphylococcus aureus is an important microbiological safety concern in low temperature food. The objective of this study was to develop predictive inactivation kinetic models for the inactivation and sublethal injury of S. aureus in broth at different temperatures (4 to −18°C) and time points. S. aureus was diluted in tryptic soy broth plus 0.6% (wt/vol) yeast extract (TSBYE) to obtain approximately 108 CFU/ml and was stored separately at 4, −3, −11, and −18°C. After specific time points within 96 days, survival of S. aureus was determined on TSBYE and TSBYE agar plus 10% NaCl for enumeration of the total viable and noninjured cell numbers, respectively. Linear, Weibull, and modified Gompertz models were applied to determine survival curve regression. The combination of low temperature and time resulted in S. aureus inactivation, although the cells were able to survive in this sublethal state. Storage temperature was the critical parameter in survival of S. aureus. The modified Weibull model successfully described a second model of noninjured S. aureus cell survival at different low temperatures, whereas only the linear model was able to fit the total viable cells. The predictive model may be used to estimate the level of S. aureus contamination in food at low storage temperatures and times, and it provides new insight into the sublethally injured survival state of S. aureus in low temperature food.

Publisher

International Association for Food Protection

Subject

Microbiology,Food Science

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3