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Quantitative assessment of the risk of microbial spoilage in foods. Prediction of non-stability at 55°C caused by [i]Geobacillus stearothermophilus[/i] in canned green beans

机译:对食品中微生物变质风险的定量评估。预测[i]嗜热脂肪芽孢杆菌[/ i]在绿豆罐头中在55°C下造成的不稳定

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摘要

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 zT. 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.
机译:嗜热和高度耐热的形成孢子的细菌(例如嗜热脂肪芽孢杆菌)对罐头食品的微生物变质是食品工业中的一个长期存在的问题。在55°C下进行7天的温育测试,然后验证生物稳定性,以此作为符合良好生产规范的指标。我们提出了一种微生物风险评估模型,该模型可预测由法国公司生产的罐装绿豆中由嗜热脂肪芽孢杆菌引起的不稳定性百分比。该模型说明了刚发酵过的未加工生豆对微生物的最初污染,包括嗜热链球菌,加工链中的交叉污染,失活过程以及存活和生长的可能性。通过等效的加热时间对灭菌过程进行建模,该加热时间取决于灭菌值F0和嗜热链球菌的抗药性参数zT。根据国际组织的建议,使用二阶蒙特卡洛模拟,分别传播参数的不确定性和可变性。该模型的结果是,平均预测的不稳定度为0.5%,不确定性区间为[0.1%; 95%]。 1.2%],与法国行业传达的数据高度相似。基于Sobol指数的敏感性分析和一些情景测试强调了除因灭菌过程而导致灭活外,在烫漂步骤中交叉污染的重要性。

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