Modeling of the Bacterial Growth Curve
Modeling of the Bacterial Growth Curve
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DOI：
10.1128/aem.56.6.1875-1881.1990
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发表时间：
1990-06
影响因子：
4.4
通讯作者：
M. Zwietering;I. Jongenburger;F. Rombouts;K. Riet
中科院分区：
文献类型：
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作者：
M. Zwietering;I. Jongenburger;F. Rombouts;K. Riet
比较了几种S形函数（logistic、Gompertz、理查兹、Schnute和Stannard）来描述细菌生长曲线。通过使用Schnute模型对它们进行统计比较，Schnute模型是一个综合模型，包括所有其他模型。采用t检验和F检验。通过t检验，可以计算参数的置信区间，并可用于区分模型。在F检验中，将模型的拟合不足与测量误差进行了比较。此外，还比较了这些模型的易用性。修改了所有S形函数，使其包含生物学相关参数。理查兹、施努特和斯坦纳德的模型似乎基本上是同一个方程。在所测试的情况下，修正的Gompertz方程在统计学上足以描述植物乳杆菌的生长数据，并且易于使用。
Several sigmoidal functions (logistic, Gompertz, Richards, Schnute, and Stannard) were compared to describe a bacterial growth curve. They were compared statistically by using the model of Schnute, which is a comprehensive model, encompassing all other models. The t test and the F test were used. With the t test, confidence intervals for parameters can be calculated and can be used to distinguish between models. In the F test, the lack of fit of the models is compared with the measuring error. Moreover, the models were compared with respect to their ease of use. All sigmoidal functions were modified so that they contained biologically relevant parameters. The models of Richards, Schnute, and Stannard appeared to be basically the same equation. In the cases tested, the modified Gompertz equation was statistically sufficient to describe the growth data of Lactobacillus plantarum and was easy to use.