• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Risk analysis >Quantitative Risk Assessment of Haemolytic and Uremic Syndrome Linked to O157:H7 and Non-O157:H7 Shiga-Toxin Producing Escherichia coli Strains in Raw Milk Soft Cheeses
【24h】

Quantitative Risk Assessment of Haemolytic and Uremic Syndrome Linked to O157:H7 and Non-O157:H7 Shiga-Toxin Producing Escherichia coli Strains in Raw Milk Soft Cheeses

机译：生牛奶软奶酪中与O157：H7和Non-O157：H7志贺毒素生产大肠杆菌菌株相关的溶血和尿毒症综合征的定量风险评估

获取原文
获取原文并翻译 | 示例
       
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Shiga-toxin producing Escherichia coli (STEC) strains may cause human infections ranging from simple diarrhea to Haemolytic Uremic Syndrome (HUS). The five main pathogenic serotypes of STEC (MPS-STEC) identified thus far in Europe are O157:H7, O26:H11, O103:H2, O111:H8, and O145:H28. Because STEC strains can survive or grow during cheese making, particularly in soft cheeses, a stochastic quantitative microbial risk assessment model was developed to assess the risk of HUS associated with the five MPS-STEC in raw milk soft cheeses. A baseline scenario represents a theoretical worst-case scenario where no intervention was considered throughout the farm-to-fork continuum. The risk level assessed with this baseline scenario is the risk-based level. The impact of seven preharvest scenarios (vaccines, probiotic, milk farm sorting) on the risk-based level was expressed in terms of risk reduction. Impact of the preharvest intervention ranges from 76% to 98% of risk reduction with highest values predicted with scenarios combining a decrease of the number of cow shedding STEC and of the STEC concentration in feces. The impact of postharvest interventions on the risk-based level was also tested by applying five microbiological criteria (MC) at the end of ripening. The five MCs differ in terms of sample size, the number of samples that may yield a value larger than the microbiological limit, and the analysis methods. The risk reduction predicted varies from 25% to 96% by applying MCs without preharvest interventions and from 1% to 96% with combination of pre- and postharvest interventions.
机译：产生志贺毒素的大肠杆菌（STEC）菌株可能引起人类感染，范围从简单的腹泻到溶血性尿毒症综合征（HUS）。到目前为止，在欧洲确定的STEC的五种主要致病血清型是O157：H7，O26：H11，O103：H2，O111：H8和O145：H28。由于STEC菌株可以在奶酪制作过程中生存或生长，特别是在软奶酪中，因此，建立了随机定量微生物风险评估模型，以评估与原料奶软奶酪中5种MPS-STEC相关的HUS风险。基准情景代表了理论上的最坏情况，即从农场到餐桌的整个过程中都没有考虑任何干预。使用此基准方案评估的风险级别是基于风险的级别。从降低风险的角度表达了七种收获前情景（疫苗，益生菌，奶场分选）对基于风险的水平的影响。收获前干预的影响范围从降低风险的76％到98％不等，其中最高预测值是结合降低牛粪STEC数量和粪便中STEC浓度的情景得出的。还通过在成熟结束时应用五个微生物标准（MC）来测试收获后干预对基于风险的水平的影响。这五个MC的样本量，可能产生大于微生物极限值的样本数量以及分析方法不同。通过不采用收获前干预的MC来预测风险降低的范围从25％到96％，而结合收获前和收获后干预的降低的风险范围从1％到96％。

著录项

  • 来源
    《Risk analysis》 |2015年第1期|109-128|共20页
  • 作者

    Frederique Perrin; Fanny Tenenhaus-Aziza; Valerie Michel; Stephane Miszczycha; Nadege Bel; Moez Sanaa;

  • 作者单位

    French Agency for Food, Environmental and Occupational Health and Safety (ANSES), Maison-Alfort, France ,ACTALIA, La Roche-sur-Foron, France ,Doctoral School ABIES (Agriculture Food Biology Environment Health), Paris, France;

    Centre National Interprofessionnel de l'Economie Laitiere (French Dairy Board), Paris, France;

    ACTALIA, La Roche-sur-Foron, France;

    Centre National Interprofessionnel de l'Economie Laitiere (French Dairy Board), Paris, France ,Universite de Lyon, CALITYSS-EMSA-VetAgro Sup, Campus Veterinaire de Lyon, Marcy l'Etoile, France;

    ACTALIA, La Roche-sur-Foron, France;

    French Agency for Food, Environmental and Occupational Health and Safety (ANSES), Maison-Alfort, France ,Agence Nationale De Securite Sanitaire, Direction Evaluation des Risques, 27-31, Avenue du General Leclerc, 94701 Maisons-Alfort Cedex, France;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Microbiological criteria; preharvest intervention; quantitative risk assessment model; raw milk soft cheese; STEC;

    机译：微生物标准;收获前干预;定量风险评估模型;生牛奶软奶酪;STEC;

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号