食品科学 ›› 2019, Vol. 40 ›› Issue (13): 296-303.doi: 10.7506/spkx1002-6630-20180628-509

• 专题论述 • 上一篇    下一篇

食源性致病菌菌株多相异质性对微生物风险评估的影响研究进展

俞文英,张昭寰,刘海泉,Pradeep Kumar MALAKAR,潘迎捷,赵 勇   

  1. 1.上海海洋大学食品学院,上海 201306;2.上海水产品加工及贮藏工程技术研究中心,上海 201306;3.农业农村部水产品贮藏保鲜质量安全风险评估实验室(上海),上海 201306
  • 出版日期:2019-07-15 发布日期:2019-07-23
  • 基金资助:
    国家自然科学基金面上项目(31571917;31671779);上海市科技兴农项目(沪农科攻字2015第4-8号;沪农科攻字2016第1-1号;沪农科推字2017第4-4号);上海市教育委员会科研创新计划项目(2017-01-07-00-10-E00056);上海市教委曙光计划项目(15SG48)

Effect of Strain Heterogeneity of Food-Borne Pathogens on Microbiological Risk Assessment: A Review

YU Wenying, ZHANG Zhaohuan, LIU Haiquan, Pradeep Kumar MALAKAR, PAN Yingjie, ZHAO Yong   

  1. 1. College of Food Sciences and Technology, Shanghai Ocean University, Shanghai 201306, China; 2. Shanghai Engineering Research Centre of Aquatic-Product Processing & Preservation, Shanghai 201306, China; 3. Laboratory of Quality and Safety Risk Assessment for Aquatic Product on Storage and Preservation (Shanghai), Ministry of Agriculture and Rural Affairs, Shanghai 201306, China
  • Online:2019-07-15 Published:2019-07-23

摘要: 微生物风险评估是当前保障食品安全的重要科学工具之一,被广泛应用于食品安全政策、法规和标准的制定。菌株多相异质性是微生物的固有特性,普遍存在于各类致病菌之中,影响着风险评估的准确性和不确定性。本文概述了国内外食品微生物菌株多相异质性的相关研究,总结了菌株多相异质性的概念,从生长和失活异质性、被膜形成异质性、毒力异质性和耐药异质性4 个方面全面系统地分析了菌株多相异质性的存在形式。在此基础上探讨了菌株多相异质性对微生物风险评估的影响,进一步展望了降低该影响的4 种解决措施,提出微生物风险评估宏模型的概念,以期提高食品安全风险评估的准确性和可靠性。

关键词: 食源性致病菌, 生长和失活异质性, 被膜形成异质性, 毒力异质性, 耐药异质性, 风险评估, 宏模型

Abstract: Microbial risk assessment is one of the most important scientific tools to ensure food safety. It is crucial for the development of food safety policies, regulations and standards. Strain heterogeneity is the inherent characteristic of microorganisms, and is prevalent in various pathogens, affecting the accuracy and uncertainty of microbiological risk assessment. This review summarizes the current studies on strain heterogeneity. Meanwhile, the conception of strain heterogeneity is proposed and its main types are also elaborated, including growth and death heterogeneity, biofilm heterogeneity, virulence heterogeneity and antibiotic resistance heterogeneity. Furthermore, the manifestation of heterogeneity is analyzed and the influence of heterogeneity of microorganisms on microbiological risk assessment is discussed. This review proposes four solutions to decrease the impacts of strain heterogeneity and puts forward the concept of meta-model, which will hopefully help improve the accuracy and reliability of microbiological risk assessment.

Key words: food-borne pathogen, growth and death heterogeneity, biofilm heterogeneity, virulence heterogeneity, antibiotic resistance heterogeneity, risk assessment, meta-model

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