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首页> 外文会议>ICoMST 2011;International conference of meat science and technology >A new tool to control meat products safety: a web based application of predictive microbiology models
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A new tool to control meat products safety: a web based application of predictive microbiology models

机译：一种控制肉制品安全性的新工具：基于Web的预测性微生物模型应用

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Predictive microbiology is considered by the European legislation as a tool to control food safety. Meat and meat products are particularly sensitive to contamination with pathogens. However, development of predictive microbiology models and interpretation of results require specific knowledge. A free web based model has been developed for an easy use by people who are not experts in this field as industries and public authorities. The model can simulate the growth of Salmonella spp, Listeria monocytogenes and Escherichia coli O157 in minced pork meat and on pork meat product (white pudding) under different environmental conditions. The model provides simulations under static or dynamic conditions over time. The user also has the opportunity to import the specific growth rate and cardinal parameters of a bacterium. Unlike polynomial models currently available, this free web access model is distinguished by the use of secondary square roots and primary logistic model with delay. This model permits to have a real time process management, to prospect new formulation for safer products or to design safer processes, to estimate the shelf life of a food product, etc.
机译：预测性微生物学被欧洲立法视为控制食品安全的工具。肉和肉制品对病原体的污染特别敏感。但是，预测性微生物学模型的开发和结果的解释需要特定的知识。已经开发了一种免费的基于Web的模型，供那些不是该领域的专家（如行业和公共机构）的人们轻松使用。该模型可以模拟沙门氏菌，单核细胞增生李斯特菌和大肠杆菌O157在切碎的猪肉和猪肉产品（白布丁）上在不同环境条件下的生长。该模型随时间提供静态或动态条件下的仿真。使用者还可以输入细菌的特定生长速率和基本参数。与当前可用的多项式模型不同，此免费Web访问模型的特征在于使用次平方根和具有延迟的主逻辑模型。该模型允许进行实时过程管理，为更安全的产品寻找新配方或设计更安全的过程，估计食品的货架期等。

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