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Estimating the maximum growth rate from microbial growth curves: definition is everything

机译：从微生物生长曲线估算最大增长率：定义就是一切

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摘要

The maximum growth rate (μ_(max)) is an important parameter in modelling microbial growth under batch conditions. However, there are two definitions of this growth parameter in current use and some of the comparisons of data made in the literature fail to acknowledge this important fact. We compared values of μ_(max) obtained by applying the Gompertz, logistic and Baranyi-Roberts models to experimental data on the growth of Listeria monocytogenes and Listeria innocua using both absorbance and viable counts measurements of cell concentration. All three models fitted the experimental data well, however, the values of μ_(max) obtained using the Gompertz and logistic models were similar to each other but substantially different from those predicted by the Baranyi-Roberts model. The latter growth model was used to derive a second estimate of μ_(max) based on the slope at the inflection point of the growth curve function; this value was in closer agreement with those obtained using the Gompertz or logistic models. Conditions were identified when values of μ_(max) based on different definitions would converge towards one another.
机译：在模拟分批条件下的微生物生长时，最大生长速率（μ_（max））是重要的参数。但是，当前使用的增长参数有两种定义，文献中的一些数据比较未能认识到这一重要事实。我们比较了使用Gompertz，logistic和Baranyi-Roberts模型对单核细胞增生李斯特菌和无毒李斯特菌的生长进行实验数据的μ_（max）值，同时使用了细胞浓度的吸光度和活菌计数测量。这三个模型都很好地拟合了实验数据，但是，使用Gompertz和Logistic模型获得的μ_（max）值彼此相似，但与Baranyi-Roberts模型所预测的值实质上不同。后者的增长模型用于基于增长曲线函数拐点处的斜率得出μ_（max）的第二个估计值。该值与使用Gompertz或Logistic模型获得的值更接近。当基于不同定义的μ_（max）值彼此收敛时，将确定条件。

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