首页> 外文学位 >Growth probability of Escherichia coli O157:H7 and Listeria monocytogenes in packaged fresh-cut romaine mix at fluctuating temperatures during simulated transport, retail storage and display.
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Growth probability of Escherichia coli O157:H7 and Listeria monocytogenes in packaged fresh-cut romaine mix at fluctuating temperatures during simulated transport, retail storage and display.

机译:在模拟运输,零售储存和展示期间,温度波动的情况下,包装的鲜切长叶莴苣混合物中大肠杆菌O157:H7和单核细胞增生李斯特菌的生长可能性。

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摘要

Temperature abuse during commercial transport and retail sale of leafy greens negatively impacts both microbial safety and product quality. Consequently, the effect of fluctuating temperatures on Escherichia coli O157:H7 and Listeria monocytogenes growth in commercially bagged salad greens was assessed during transport, retail storage, and display. Over a 16-month period, a series of time/temperature profiles for bagged salad greens were obtained from 16 transportation routes covering four geographic regions (432 profiles), as well as during retail storage (4867 profiles) and display (3799 profiles) at nine supermarkets. Five different time/temperature profiles collected during 2 to 3 days of transport, 1 and 3 days of cold room storage and 3 days of retail display (including the best and worst scenarios) were then duplicated in a programmable incubator to assess E. coli O157:H7 and L. monocytogenes growth in commercial bags of romaine lettuce mix. Microbial growth predictions using the Baranyi/Ratkowsky and McKellar models were validated by comparing the root mean square error (RMSE) and bias between the laboratory growth data and model predictions. Monte Carlo simulations (~100,000 iterations) were then performed to calculate the probability distribution of microbial growth from a total of 8,122,127,472 scenarios during transport, cold room storage, and retail display. Using inoculated bags of retail salad, E. coli O157:H7 and L. monocytogenes populations increased a maximum of 3.1 and 3.0 log CFU/g at retail storage. Both models yielded 1 log CFU/g RMSEs and biases with the Baranyi model fitting slightly better to the laboratory data. Based on the simulation results, both pathogens generally increased 2 log CFU/g. However, retail storage duration can significantly impact the extent of E. coli O157:H7 and L. monocytogenes growth. Greatest growth of E. coli O157:H7 would be expected in product located at the bottom of the pallet during summer transport. This large-scale U. S. study - the first using commercial time/temperature profiles to assess the microbial risk of leafy greens during transport, retail storage, and display, should be useful in filling some of the data gaps in current risk assessments for leafy greens.
机译:商业运输和绿叶蔬菜零售期间的温度滥用会对微生物安全性和产品质量产生负面影响。因此,在运输,零售和展示过程中,评估了温度波动对商用袋装沙拉菜中大肠杆菌O157:H7和单核细胞增生李斯特菌生长的影响。在16个月的时间里,从16个运输路线中获得了袋装沙拉蔬菜的一系列时间/温度分布图,涵盖了四个地理区域(432个分布图)以及零售存储(4867个分布图)和展示(3799个分布图)期间九个超市。然后在可编程孵化器中复制在运输2至3天,冷藏室1和3天以及零售展示3天(包括最佳和最差情况)期间收集的五种不同的时间/温度曲线,以评估大肠杆菌O157 :H7和单核细胞增生李斯特菌在生菜混合生菜的商业包装袋中生长。通过比较实验室生长数据与模型预测之间的均方根误差(RMSE)和偏差,验证了使用Baranyi / Ratkowsky和McKellar模型进行的微生物生长预测。然后执行蒙特卡洛模拟(约100,000次迭代),以计算运输,冷藏室和零售展示期间总共8,122,127,472个场景中微生物生长的概率分布。使用零售沙拉包装袋,零售商店中的大肠杆菌O157:H7和单核细胞增生李斯特菌种群最多增加了3.1 log CFU / g和3.0 log CFU / g。两种模型均产生<1 log CFU / g RMSE,并且偏差与Baranyi模型的拟合略好于实验室数据。根据模拟结果,两种病原体通常增加<2 log CFU / g。但是,零售存储期限会严重影响大肠杆菌O157:H7和单核细胞增生李斯特菌的生长程度。在夏季运输期间,位于托盘底部的产品预计会产生O157:H7大肠杆菌的最大增长。美国的这项大规模研究-首次使用商业时间/温度曲线来评估在运输,零售存储和展示过程中绿叶蔬菜的微生物风险,对于填补当前对绿叶蔬菜的风险评估中的某些数据空白应该是有用的。

著录项

  • 作者

    Zeng, Wenting.;

  • 作者单位

    Michigan State University.;

  • 授予单位 Michigan State University.;
  • 学科 Agriculture Food Science and Technology.
  • 学位 M.S.
  • 年度 2012
  • 页码 113 p.
  • 总页数 113
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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