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首页> 外文期刊>Food microbiology >Modelling survival kinetics of Staphylococcus aureus and Escherichia coli O157:H7 on stainless steel surfaces soiled with different substrates under static conditions of temperature and relative humidity
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Modelling survival kinetics of Staphylococcus aureus and Escherichia coli O157:H7 on stainless steel surfaces soiled with different substrates under static conditions of temperature and relative humidity

机译:在温度和相对湿度的静态条件下,模拟金黄色葡萄球菌和大肠杆菌O157:H7在沾有不同基质的不锈钢表面上的存活动力学

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摘要

The survival of Escherichia coli O157:H7 and Staphylococcus aureus on stainless steel surfaces with Saline Solution (SS), Tryptone Soy Broth (TSB) and meat purge was studied, and based on results, mathematical models describing survival of pathogens as a function of time were proposed. Results indicated that S. aureus was able to survive longer than E. coli O157:H7 in all substrates. The type of substrate had a greater impact on the survival of E. coli O157:H7. This microorganism only remained viable for 8 and 50 h (hours) on surfaces with SS and TSB, respectively while on meat purge, the microorganism could be recovered after 200 h. For S. aureus, SS and TSB led to similar survival times (250 h) whereas on meat purge, survival capacity increased to 800 h. Survival data for S. aureus could be well described by a log-linear model or a Weibull model depending on the type of substrate (R~2 > 0.85). E. coli O157:H7 displayed an evident tail zone which made the Weibull model more appropriate (R~2 > 0.94). These survival models may be used in quantitative risk assessment to produce more accurate risk estimates. Finally, the results highlight the importance of performing effective cleaning procedures to prevent cross contamination.
机译:研究了盐溶液(SS),胰蛋白So大豆肉汤(TSB)和吹扫肉对大肠杆菌O157:H7和金黄色葡萄球菌在不锈钢表面的存活率,并基于结果,描述了随时间变化的病原体存活率的数学模型被提出。结果表明,金黄色葡萄球菌在所有底物中的存活时间均比大肠杆菌O157:H7长。底物的类型对大肠杆菌O157:H7的存活有较大影响。该微生物仅在SS和TSB的表面上分别保持存活8小时和50小时(小时),而在吹扫肉时,在200小时后可以回收该微生物。对于金黄色葡萄球菌,SS和TSB导致相似的存活时间(250小时),而在吹扫肉时,存活能力增加至800小时。金黄色葡萄球菌的存活数据可以根据底物的类型通过对数线性模型或威布尔模型很好地描述(R〜2> 0.85)。大肠杆菌O157:H7表现出明显的尾巴区,这使Weibull模型更合适(R〜2> 0.94)。这些生存模型可用于定量风险评估,以产生更准确的风险估计。最后,结果突出了执行有效清洁程序以防止交叉污染的重要性。

著录项

  • 来源
    《Food microbiology》 |2013年第2期|197-204|共8页
  • 作者单位

    Department of Food Science and Technology, International Campus of Excellence in the AgriFood Sector (CelA3), University of Cordoba, Campus de Rabanales, C-1, 74014 Cordoba, Spain;

    Department of Food Science and Technology, International Campus of Excellence in the AgriFood Sector (CelA3), University of Cordoba, Campus de Rabanales, C-1, 74014 Cordoba, Spain;

    Department of Food Science and Technology, International Campus of Excellence in the AgriFood Sector (CelA3), University of Cordoba, Campus de Rabanales, C-1, 74014 Cordoba, Spain;

    Department of Food Science and Technology, International Campus of Excellence in the AgriFood Sector (CelA3), University of Cordoba, Campus de Rabanales, C-1, 74014 Cordoba, Spain;

    Department of Food Science and Technology, International Campus of Excellence in the AgriFood Sector (CelA3), University of Cordoba, Campus de Rabanales, C-1, 74014 Cordoba, Spain;

  • 收录信息 美国《科学引文索引》(SCI);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    quantitative risk assessment; survival model; predictive microbiology; food-borne pathogen; weibull model;

    机译:定量风险评估;生存模型;预测微生物学;食源性病原体;威布尔模型;

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