A Web-based Application Customized to Food Safety Requirements of Small-sized Enterprises

Pierluigi Polese , Manuela Del Torre , Mara Lucia Stecchini
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引用次数: 1

Abstract

Today, European legislation considers predictive microbiology as a tool to define food safety. People in the food industry, including those in small-sized enterprises, even if they are unable to avail themselves of specific knowledge, are encouraged to use the same approach. To extend a bridge between both sides, a user-friendly, simplified, web-based application (Praedicere Possumus, PP) has been developed. Through this application, users have access to different modules, which apply a set of models, some of them already validated and considered reliable for determining the compliance of a food product with EU safety criteria1. In particular, the PP applies the growth/no-growth boundary model2, coupled with a three-phase linear growth model and thermal/non-thermal models. Two complementary functionalities, such as the fractional contribution of each inhibitory factor to growth probability (f) and the time evolution of the growth probability (Pt) have also been included3. The PP application is expected to assist users in defining processing and storage conditions to attain a desirable food safety level and to support food safety authorities in demonstrating compliance with legislation.

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一个针对小型企业食品安全需求的web应用
今天,欧洲立法将预测微生物学视为定义食品安全的工具。鼓励食品工业的人员,包括小型企业的人员,即使他们无法利用自己的具体知识,也采用同样的方法。为了扩大双方之间的桥梁,开发了一个用户友好的、简化的、基于web的应用程序(Praedicere Possumus, PP)。通过该应用程序,用户可以访问不同的模块,这些模块应用一组模型,其中一些模型已经经过验证并被认为是确定食品是否符合欧盟安全标准的可靠模型。特别地,PP应用生长/无生长边界模型2,结合三相线性生长模型和热/非热模型。两个互补的功能,如每个抑制因子对生长概率的分数贡献(f)和生长概率的时间演化(Pt)也被包括在内3。PP应用程序预计将帮助用户确定加工和储存条件,以达到理想的食品安全水平,并支持食品安全当局证明遵守法律。
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