Tenenhaus-Aziza Fanny, Ellouze Mariem
CNIEL, Centre National Interprofessionnel de l'Economie Laitière (French Dairy Board), Technical and Scientific Department, 42 rue du Châteaudun, 75009 Paris, France.
IFIP, French Institute for Pig and Pork Products, Fresh and Processed Meats Department, 7 Avenue du Général de Gaulle, 94704 Maisons Alfort, France.
Food Microbiol. 2015 Feb;45(Pt B):290-9. doi: 10.1016/j.fm.2014.06.026. Epub 2014 Jul 5.
The 8th International Conference on Predictive Modelling in Food was held in Paris, France in September 2013. One of the major topics of this conference was the transfer of knowledge and tools between academics and stakeholders of the food sector. During the conference, a "Software Fair" was held to provide information and demonstrations of predictive microbiology and risk assessment software. This article presents an overall description of the 16 software tools demonstrated at the session and provides a comparison based on several criteria such as the modeling approach, the different modules available (e.g. databases, predictors, fitting tools, risk assessment tools), the studied environmental factors (temperature, pH, aw, etc.), the type of media (broth or food) and the number and type of the provided micro-organisms (pathogens and spoilers). The present study is a guide to help users select the software tools which are most suitable to their specific needs, before they test and explore the tool(s) in more depth.
第八届食品预测建模国际会议于2013年9月在法国巴黎举行。本次会议的主要议题之一是食品领域的学者与利益相关者之间的知识与工具转移。会议期间举办了一场“软件展”,以提供预测微生物学和风险评估软件的信息并进行演示。本文对在该环节展示的16种软件工具进行了全面描述,并基于多种标准进行了比较,这些标准包括建模方法、可用的不同模块(如数据库、预测器、拟合工具、风险评估工具)、研究的环境因素(温度、pH值、水分活度等)、培养基类型(肉汤或食品)以及所提供微生物的数量和类型(病原体和腐败菌)。本研究是一份指南,可帮助用户在更深入测试和探索工具之前选择最适合其特定需求的软件工具。