INRA, UR 1204, Met@risk, Food Risk Analysis Methodologies, F-75005 Paris, France.
CTCPA, Site Agroparc, ZA de l'aéroport, F-84911 Avignon, France.
Int J Food Microbiol. 2014 Feb 3;171:119-28. doi: 10.1016/j.ijfoodmicro.2013.11.014. Epub 2013 Nov 20.
Microbial spoilage of canned foods by thermophilic and highly heat-resistant spore-forming bacteria, such as Geobacillus stearothermophilus, is a persistent problem in the food industry. An incubation test at 55 °C for 7 days, then validation of biological stability, is used as an indicator of compliance with good manufacturing practices. We propose a microbial risk assessment model predicting the percentage of non-stability due to G. stearothermophilus in canned green beans manufactured by a French company. The model accounts for initial microbial contaminations of fresh unprocessed green beans with G. stearothermophilus, cross-contaminations in the processing chain, inactivation processes and probability of survival and growth. The sterilization process is modeled by an equivalent heating time depending on sterilization value F₀ and on G. stearothermophilus resistance parameter z(T). Following the recommendations of international organizations, second order Monte-Carlo simulations are used, separately propagating uncertainty and variability on parameters. As a result of the model, the mean predicted non-stability rate is of 0.5%, with a 95% uncertainty interval of [0.1%; 1.2%], which is highly similar to data communicated by the French industry. A sensitivity analysis based on Sobol indices and some scenario tests underline the importance of cross-contamination at the blanching step, in addition to inactivation due to the sterilization process.
嗜热和高度耐热芽孢形成细菌(如嗜热脂肪地芽孢杆菌)对罐装食品的微生物腐败是食品工业中一个持续存在的问题。在 55°C 下孵育 7 天,然后验证生物稳定性,作为符合良好生产规范的指标。我们提出了一个微生物风险评估模型,预测法国公司生产的罐装青豆中由于嗜热脂肪地芽孢杆菌导致的非稳定性百分比。该模型考虑了新鲜未加工的青豆中初始的嗜热脂肪地芽孢杆菌微生物污染、加工链中的交叉污染、失活过程以及存活和生长的可能性。灭菌过程通过等效加热时间进行建模,该时间取决于灭菌值 F₀ 和嗜热脂肪地芽孢杆菌抗性参数 z(T)。根据国际组织的建议,使用二阶蒙特卡罗模拟,分别对参数的不确定性和可变性进行传播。根据模型,预测的非稳定性平均率为 0.5%,95%置信区间为 [0.1%;1.2%],与法国工业界所报告的数据非常相似。基于 Sobol 指数的敏感性分析和一些情景测试强调了在烫漂步骤中的交叉污染以及灭菌过程中的失活的重要性。