University of Maryland, College Park, Maryland 20742, United States.
Environ Sci Technol. 2011 Feb 1;45(3):1093-9. doi: 10.1021/es102729v. Epub 2010 Dec 23.
In the vicinity of dense nonaqueous phase liquid (DNAPL) contaminant source zones, aqueous concentrations of tetrachloroethene (PCE) in groundwater may approach saturation levels. In this study, the ability of two PCE-respiring strains (Desulfuromonas michiganensis and Desulfitobacterium strain PCE1) to dechlorinate high concentrations of PCE was experimentally evaluated and depended on the initial biomass concentration. This suggests high PCE concentrations permanently inactivated a fraction of biomass, which, if sufficiently large, prevented dechlorination from proceeding. The toxic effects of PCE were incorporated into a model of dehalorespirer growth by adapting the transformation capacity concept previously applied to describe biomass inactivation by products of cometabolic TCE oxidation. The inactivation growth model was coupled to the Andrews substrate utilization model, which accounts for the self-inhibitory effects of PCE on dechlorination rates, and fit to the experimental data. The importance of incorporating biomass inactivation and self-inhibition effects when modeling reductive dechlorination of high PCE concentrations was demonstrated by comparing the goodness-of-fit of the Andrews biomass inactivation and three alternate models that do capture these factors. The new dehalorespiration model should improve our ability to predict contaminant removal in DNAPL source zones and determine the inoculum size needed to successfully implement bioaugmentation of DNAPL source zones.
在富含非水相液体(DNAPL)污染物源区的附近,地下水中的四氯乙烯(PCE)的水相浓度可能接近饱和水平。在本研究中,通过实验评估了两种 PCE 呼吸菌株(脱硫单胞菌密歇根亚种和脱硫肠状菌 PCE1)降解高浓度 PCE 的能力,这取决于初始生物量浓度。这表明高浓度的 PCE 会使一部分生物量永久失活,如果失活的生物量足够大,则会阻止脱氯反应的进行。将 PCE 的毒性效应纳入到一种脱卤呼吸器生长模型中,该模型通过适应先前用于描述 TCE 氧化共代谢产物对生物量失活的转化能力概念来实现。失活生长模型与安德鲁斯基质利用模型相结合,该模型考虑了 PCE 对脱氯速率的自抑制效应,并与实验数据拟合。通过比较安德鲁斯生物量失活和三个可以捕捉到这些因素的替代模型的拟合优度,证明了在对高浓度 PCE 进行还原脱氯建模时,纳入生物量失活和自抑制效应的重要性。新的脱卤呼吸模型应提高我们预测 DNAPL 源区污染物去除的能力,并确定成功实施 DNAPL 源区生物增强所需的接种量。