Koseki Shige
National Food Research Institute, 2-1-12, Kannondai, Tsukuba, Ibaraki 305-8642, Japan.
Int J Food Microbiol. 2009 Aug 31;134(1-2):75-82. doi: 10.1016/j.ijfoodmicro.2008.12.019. Epub 2008 Dec 25.
ComBase is a large database of microbial responses to food environments and has attracted the attention of many researchers and food processors. Although ComBase contains a vast amount of data, it is not easy to obtain desired information from the retrieved data. In the present study, we developed a new ComBase-derived database (Microbial Responses Viewer, MRV) consisting of microbial growth/no growth data. The response was defined as representing "growth" if a significant increase in bacterial concentration (>1.0 log(10)) was observed. Alternatively, "growth" was defined as a positive value of the specific growth rate. The growth/no growth data of nineteen different microorganisms were extracted from all the data in ComBase comprising 29 kinds of microorganism. Furthermore, the specific growth rate of each microorganism was modelled as a function of temperature, pH, and water activity (a(w)) using a Poisson log-linear model, which is a family of generalized linear models (GLMs). For 16 of the 19 microorganisms, the specific growth/death rate was successfully modelled as a function of temperature, pH, and a(w) using GLM. The specific growth rate was illustrated using a two-dimensional contour plot with growth/no growth data. MRV provides information concerning growth/no growth boundary conditions and the specific growth rates of queried microorganisms. Using MRV, food processors can easily find the appropriate food design and processing conditions. This database will contribute to the efficient and safe production and distribution of processed foods.
ComBase是一个关于微生物对食品环境反应的大型数据库,已吸引了众多研究人员和食品加工商的关注。尽管ComBase包含大量数据,但从检索到的数据中获取所需信息并非易事。在本研究中,我们开发了一个新的源自ComBase的数据库(微生物反应查看器,MRV),它由微生物生长/不生长数据组成。如果观察到细菌浓度显著增加(>1.0 log(10)),则将该反应定义为代表“生长”。或者,“生长”被定义为比生长速率的正值。从ComBase中包含的29种微生物的所有数据中提取了19种不同微生物的生长/不生长数据。此外,使用泊松对数线性模型(广义线性模型(GLMs)的一个类别)将每种微生物的比生长速率建模为温度、pH值和水分活度(a(w))的函数。对于19种微生物中的16种,使用GLM成功地将比生长/死亡率建模为温度、pH值和a(w)的函数。使用带有生长/不生长数据的二维等高线图说明了比生长速率。MRV提供了有关生长/不生长边界条件以及查询微生物比生长速率的信息。使用MRV,食品加工商可以轻松找到合适的食品设计和加工条件。该数据库将有助于加工食品的高效安全生产和分销。