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首页> 外文期刊>Applied Microbiology and Biotechnology >Impact of initial conditions on extant microbial kinetic parameter estimates: application to chlorinated ethene dehalorespiration
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Impact of initial conditions on extant microbial kinetic parameter estimates: application to chlorinated ethene dehalorespiration

机译:初始条件对现有微生物动力学参数估计值的影响:在氯乙烯脱汗中的应用

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摘要

Monod kinetics are the foundation of mathematical models of many environmentally important biological processes, including the dehalorespiration of chlorinated ethene groundwater contaminants. The Monod parameters—q_(max), the maximum specific substrate utilization rate, and K_S, the half-saturation constant—are typically estimated in batch assays, which are superficially simple to prepare and maintain. However, if initial conditions in batch assays are not chosen carefully, it is unlikely that the estimated parameter values will be meaningful because they do not reflectmicrobial activity in the environmental system of interest, and/or they are not mathematically identifiable. The estimation of q_(max) and K_S values that are highly correlated undoubtedly contributes significantly to the wide range in reported parameter values and may undermine efforts to use mathematical models to demonstrate the occurrence of natural attenuation or predict the performance of engineered bioremediation approaches. In this study, a series of experimental and theoretical batch kinetic assays were conducted using the tetrachloroethene-respirer Desulfuromonas michiganensis to systematically evaluate the effects of initial batch assay conditions, expressed as the initial substrate (S_0)-to-initial biomass concentration (X_0) ratio (S_0/X_0) and the S_0/K_S ratio on parameter correlation. An iterative approach to obtain meaningful Monod parameter estimates was developed and validated using three different strains and can be broadly applied to a range of other substrates and populations. While the S_0/X_0 ratio is critical to obtaining kinetic parameter estimates that reflect in situ microbial activity, this study shows that optimization of the S_0/K_S ratio is key to minimizing Monod parameter correlation.
机译:Monod动力学是许多对环境重要的生物过程(包括氯化乙烯地下水污染物的脱汗)的数学模型的基础。 Monod参数-q_(max)(最大底物利用率)和K_S(半饱和常数)通常在分批测定中进行估算,这在表面上易于制备和维护。但是,如果不仔细选择批分析中的初始条件,则估计的参数值将不太有意义,因为它们无法反映目标环境系统中的微生物活性,并且/或者它们在数学上无法识别。高度相关的q_(max)和K_S值的估计无疑会大大影响报告的参数值范围,并且可能破坏使用数学模型来证明自然衰减的发生或预测工程生物修复方法的性能的努力。在这项研究中,使用四氯乙烯呼吸器密歇根Desulfuromonas michiganensis进行了一系列实验和理论批动力学测定,以系统评估初始批测定条件的影响,表示为初始底物(S_0)-初始生物质浓度(X_0)参数相关的比率(S_0 / X_0)和S_0 / K_S比率。使用三种不同的菌株开发并验证了一种获得有意义的Monod参数估计值的迭代方法,该方法可以广泛地应用于一系列其他底物和种群。尽管S_0 / X_0比率对于获得反映原位微生物活性的动力学参数估计至关重要,但这项研究表明,优化S_0 / K_S比率对于最小化Monod参数相关性至关重要。

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