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具有底物浓度和种群密度变量的矿化动力学模型。

Models for mineralization kinetics with the variables of substrate concentration and population density.

作者信息

Simkins S, Alexander M

出版信息

Appl Environ Microbiol. 1984 Jun;47(6):1299-306. doi: 10.1128/aem.47.6.1299-1306.1984.

Abstract

The rates of mineralization of [14C]benzoate by an induced population of Pseudomonas sp. were measured at initial substrate concentrations ranging from 10 ng/ml to 100 micrograms/ml. Plots of the radioactivity remaining in the culture were fit by nonlinear regression to six kinetic models derived from the Monod equation. These models incorporate only the variables of substrate concentration and cell density. Plots of the mineralization kinetics in cultures containing low, intermediate, and high initial substrate concentrations were well fit by first-order, integrated Monod, and logarithmic kinetics, respectively. Parameters such as maximum specific growth rate, half-saturation constant, and initial population density divided by yield agreed between cultures to within a factor of 3.4. Benzoate mineralization by microorganisms in acclimated sewage was shown to fit logistic (sigmoidal), Monod, and logarithmic kinetics when the compound was added at initial concentrations of 0.1, 1.0, and 10 micrograms/ml, respectively. The mineralization of 10 micrograms of benzoate per ml in sewage also followed logarithmic kinetics in the absence of protozoa. It is concluded that much of the diversity in shapes of mineralization curves is a result of the interactions of substrate concentration and population density. Nonlinear regression with models incorporating these variables is a valuable means for analysis of microbial mineralization kinetics.

摘要

在初始底物浓度范围为10纳克/毫升至100微克/毫升的条件下,测定了诱导培养的假单胞菌属细菌对[14C]苯甲酸盐的矿化速率。将培养物中剩余放射性的曲线通过非线性回归拟合到由莫诺德方程推导的六个动力学模型。这些模型仅纳入底物浓度和细胞密度变量。在含有低、中、高初始底物浓度的培养物中,矿化动力学曲线分别与一级、积分莫诺德和对数动力学拟合良好。不同培养物之间,最大比生长速率、半饱和常数以及初始种群密度除以产量等参数的差异在3.4倍以内。当分别以0.1、1.0和10微克/毫升的初始浓度添加该化合物时,驯化污水中的微生物对苯甲酸盐的矿化显示符合逻辑斯蒂(S形)、莫诺德和对数动力学。在没有原生动物的情况下,污水中每毫升10微克苯甲酸盐的矿化也遵循对数动力学。得出的结论是,矿化曲线形状的许多差异是底物浓度和种群密度相互作用的结果。使用纳入这些变量的模型进行非线性回归是分析微生物矿化动力学的一种有价值的方法。

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