Expanding the ComBase database and developing new tools for its modelling toolbox

ComBase DATABASE拥有成千上万条记录。一条记录代表食源性病原体在给定环境中的生长或生存曲线。这种环境的特征主要是温度、pH值、水的活度；但也受到其他次要因素的影响，比如大气、添加剂等。这些数据要么来自科学文献，要么来自食品微生物实验室。使用数学建模和编程技术，软件工具已经在IFR编写，并在ComBase网站的建模工具箱中实现。开发了帮助和培训系统，就如何使用这些工具和解释其产出提供必要的指导。在这个建议中，我们将向ComBase添加更多的数据集。这些新数据的性质也将更加复杂：它们将包括在观测期间环境因素发生变化时获得的数据。这种动态环境因素可以是温度（例如在热处理期间），水活度（例如在制造后干燥期间）或pH值（例如在发酵期间）。许多这样的数据集已经通过我们的合作者大量可用（大约5000条记录），但它们的重新格式化为ComBase格式，验证，处理和建模需要计算和数学专业知识。

The ComBase DATABASE hosts tens of thousands of records. One record represents a growth or survival curve of a foodborne pathogen in a given environment. This environment is characterised primarily by temperature, pH, water activity; but also by other secondary factors like atmosphere, additives, etc. The data were from either the scientific literature or donated by food microbiology laboratories. Using mathematical modelling and programming techniques, software tools have been written at IFR and implemented in the MODELLING Toolbox of the ComBase web site. Help and TRAINING systems were developed to provide the necessary guidance on how to use these tools and interpret their outputs. In this proposal, we would add more datasets to ComBase. The nature of these new data will also be more complex: they will include data obtained when environmental factors change during the observation time. This dynamic environmental factor can be either the temperature (e.g. during thermal treatment), water activity (e.g. during drying after manufacturing) or pH (e.g during fermentation). Many such datasets are already available in large quantities (ca 5000 records) via our collaborators, but their re-formatting for the ComBase format, verification, processing and modelling needs computational and mathematical expertise.