食品科学 ›› 2021, Vol. 42 ›› Issue (11): 253-260.doi: 10.7506/spkx1002-6630-20200504-024

• 专题论述 • 上一篇    下一篇

食源性致病菌生长延滞期的研究进展

方太松,吴瑜凡,石宁馨,常敏,胡斌,刘阳泰,李红梅,董庆利,王翔   

  1. (1.上海理工大学医疗器械与食品学院,上海 200093;2.张家港海关检验检疫综合技术中心,江苏 苏州 215600)
  • 出版日期:2021-06-15 发布日期:2021-06-29
  • 基金资助:
    国家自然科学基金青年科学基金项目(31801455)

Recent Understanding of the Lag Phase of Foodborne Pathogens: A Review

FANG Taisong, WU Yufan, SHI Ningxin, CHANG Min, HU Bin, LIU Yangtai, LI Hongmei, DONG Qingli, WANG Xiang   

  1. (1. School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China; 2. Zhangjiagang Customs Inspection and Quarantine Comprehensive Technology Center, Suzhou 215600, China)
  • Online:2021-06-15 Published:2021-06-29

摘要: 食源性致病菌是引起食源性疾病的首要致病因子,为了定量评估由其引起的食品安全风险、评价食品加工工艺对其控制的有效性,需利用预测微生物学模型估算食源性致病菌的相关生长或失活参数。生长延滞期是描述食源性致病菌生长的重要参数,受多种因素影响,尤其是低菌量水平下细胞生长变异性使得生长延滞期更难以准确获取。本文结合近年来国内外相关研究,系统地总结了食源性致病菌生长延滞期的检测方法及影响因素,并介绍可作为生长延滞期生理标记的相关胞内活动,最后对生长延滞期研究的发展趋势提出建议,以期为今后的研究提供参考。

关键词: 预测微生物;食源性致病菌;生长延滞期;检测技术;生理标记

Abstract: Foodborne pathogens are the primary factors causing foodborne illness. In order to quantitatively evaluate the food safety risks associated with foodborne pathogens and the effectiveness of food processing technology in controlling these risks, it is necessary to establish predictive microbiology models to estimate the growth or inactivation parameters of foodborne pathogens. The lag phase is an important parameter in the description of the growth of foodborne pathogens, which is known to be influenced by multi-factors. Especially the growth variability of foodborne pathogens at low concentrations makes it difficult to obtain the lag phase accurately. In this article, based on a review of the relevant worldwide studies in recent years, we systematically summarize the methods used to determine the lag phase of foodborne pathogens and the factors that may affect it, and we describe the cellular events that can be used as physiological markers for the lag phase of foodborne pathogens. Finally, we propose future trends in this area of research.

Key words: predictive microbiology; foodborne pathogens; lag phase; detection methods; physiological markers

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