冷链即食食品生产加工环境中李斯特氏菌属检测方法的建立与应用

Establishment and application of a detection method for Listeria spp. in the production and processing environment of cold chain ready-to-eat food

中文关键词:  李斯特氏菌属  冷链即食食品  环境监控

英文关键词:Listeria spp.  cold chain ready-to-eat food  environmental monitoring

中文摘要:

      目的 建立可用于冷链即食食品生产加工环境中李斯特氏菌属的分离与检测方法, 对生产企业的环境进行监控。方法 本研究结合美国食品药品监督管理局-细菌学分析手册(Food and Drug Administration Bacteriological Analytical Manual, FDA-BAM)单增李斯特氏菌检测方法, 通过制备冻干定量菌球模拟增菌实验, 对增菌液中萘啶酮酸和吖啶黄素的添加时间、头孢曲松钠的添加浓度进行研究, 确定最佳增菌方式和头孢曲松钠浓度, 并将其应用到实际冷链即食食品生产企业环境中李斯特菌属的分离检测中。结果 3种李斯特氏菌属和背景菌的冻干菌球的浓度分别为120 CFU/球和1100 CFU/球。通过模拟增菌实验, 延后4 h使用添加剂, 可使李斯特氏菌属及单增李斯特氏菌的检出率均提高10%, 在此基础上头孢曲松钠添加量在6~8 μg/mL时, 李斯特氏菌属及单增李斯特氏菌的检出率均为100%。结论 该方法可提高李斯特氏菌属的检出率。为冷链即食食品生产企业的环境监控提供了技术保障。

英文摘要:

      Objective To establish a method for the isolation and detection of Listeria spp in the production and processing environment of cold chain ready-to-eat food, and to monitor the environment of production enterprises. Methods This study combined the national standard method and the Food and Drug Administration Bacteriological Analytical Manual (FDA-BAM) for the detection of Listeria monocytogenes. The addition time of nalidixone acid and acriflavin and the concentration of ceftriaxone sodium in the bacteria growth solution were studied through the preparation of freeze-dried quantitative bacteria pellet simulation experiment. The optimal bacteria growth method and concentration of ceftriaxone sodium were determined and applied to the separation and detection of Listeria in the actual cold chain ready-to-eat food production enterprise. Results The concentrations of lyophilized Listeria and background bacteria were 120 CFU/ ball and 1100 CFU/ ball, respectively. According to the simulated proliferation experiment, the detection rates of Listeria and Listeria monocytogenes were increased by 10% after the application of the additive for 4 h. On this basis, when the dosage of ceftriaxone sodium was 6?8 μg/mL, the detection rates of Listeria and Listeria monocytogenes were 100%. Conclusion This method can improve the detection rate of Listeria. It provides technical support for environmental monitoring of cold chain ready-to-eat food production enterprises