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A predictive model of Vibrio cholerae for combined temperature and organic nutrient in aquatic environments.

机译:霍乱弧菌在水生环境中温度和有机营养物结合的预测模型。

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Aims. To develop a predictive model for Vibrio cholerae in sea water. Methods and Results. The growth curves of V. cholerae NE-9 at different temperatures (range from 10 to 30 degrees C) and chemical oxygen demand (COD) concentration (range from 5 to 40 mg l--1) were determined. The modified logistic model and Baranyi model were chosen to regress the growth curves. A new method for modelling effects of temperature and COD on the specific growth rate ( mu) was successfully developed by a combination of modified square root-type equation and saturation growth rate model. The coefficient of determination (R2), bias factor (Bf) and accuracy factor (Af) were taken to assess the performance of the established model. Logistic model produced a good fit to the observed data (R2 = 0 952). However, the Baranyi model provided biologically plausible parameter estimates. The overall predictions for V. cholerae NE-9 growth agreed well with observed plate counts, and the average R2, Bf and Af values were 0.967, 1.198 and 1.201, respectively. Conclusion. The predicted model agreed well with observed data, and the result can be applied for the prediction of V. cholerae in actual environments. Significance and Impact of the Study. The results of this study provide the basis for the prediction of V. cholerae in sea water. copyright 2012 The Society for Applied Microbiology.
机译:目的建立海水霍乱弧菌的预测模型。方法和结果。霍乱弧菌NE-9在不同温度(10至30摄氏度)和化学需氧量(COD)浓度(5至40 mg l -1 )范围内的生长曲线为决心。选择改进的逻辑模型和Baranyi模型来回归增长曲线。结合修正的平方根型方程和饱和增长率模型,成功开发了一种模拟温度和化学需氧量对特定增长率(μ)的影响的新方法。确定系数(R 2 ),偏差因子(Bf)和准确性因子(Af)用于评估所建立模型的性能。逻辑模型与观测数据非常吻合(R 2 = 0 952)。但是,Baranyi模型提供了生物学上合理的参数估计。霍乱弧菌NE-9生长的总体预测与观察到的板数非常吻合,平均R 2 ,Bf和Af值分别为0.967、1.198和1.201。结论。该预测模型与观测数据吻合良好,其结果可用于实际环境中霍乱弧菌的预测。研究的意义和影响。这项研究的结果为预测海水中的霍乱弧菌提供了基础。版权所有2012应用微生物学学会。

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