Department of Environmental Engineering, Technical University of Denmark, Miljoevej, Building 113, Lyngby 2800, Denmark.
Biotechnol Bioeng. 2013 Jan;110(1):1-23. doi: 10.1002/bit.24714. Epub 2012 Sep 24.
Reductive dechlorination is a major degradation pathway of chlorinated ethenes in anaerobic subsurface environments, and reactive kinetic models describing the degradation process are needed in fate and transport models of these contaminants. However, reductive dechlorination is a complex biological process, where many microbial populations including dechlorinating, fermentative, methanogenic, iron and sulfate reducing, interact. In this article the modeling approaches and the experimental data needed to calibrate them are reviewed, classified, and discussed. Model approaches considered include first order kinetics, Monod kinetics to describe sequential reductive dechlorination and bacterial growth, and metabolic models which simulate fermentation and redox processes interacting with reductive dechlorination processes. The review shows that the estimated kinetic parameters reported vary over a wide range, and that experimental microbial data are scarce. Very few studies have been performed evaluating the influence of sulfate and iron reduction, and contradictory conclusions on the interaction of redox processes with reductive dechlorination have been reported. The modeling approaches for metabolic reductive dechlorination employing different descriptions of the interaction between redox and dechlorination processes and competition for hydrogen are classified. The current concepts lead to different results, suggesting a need for further investigations on the interactions between the microbial communities performing dechlorination and redox processes, including the establishment of biomarkers quantifying dechlorination, and on geochemical characterization. Finally, the relevance of laboratory data and the development of practical modeling tools for field applications are discussed.
还原脱氯是厌氧地下环境中氯代乙稀的主要降解途径,在这些污染物的命运和迁移模型中需要描述降解过程的反应动力学模型。然而,还原脱氯是一个复杂的生物过程,其中包括脱氯、发酵、产甲烷、铁和硫酸盐还原等许多微生物种群相互作用。本文综述了用于校准这些模型的建模方法和实验数据,对其进行了分类和讨论。所考虑的模型方法包括一级动力学、描述顺序还原脱氯和细菌生长的 Monod 动力学,以及模拟与还原脱氯过程相互作用的发酵和氧化还原过程的代谢模型。综述表明,报告的估计动力学参数变化范围很广,而且实验微生物数据很少。很少有研究评估硫酸盐和铁还原的影响,并且关于氧化还原过程与还原脱氯相互作用的结论相互矛盾。对采用不同描述还原脱氯过程与氧化还原过程相互作用和对氢竞争的代谢还原脱氯的模型方法进行了分类。目前的概念导致了不同的结果,表明需要进一步研究进行脱氯和氧化还原过程的微生物群落之间的相互作用,包括建立定量脱氯的生物标志物和地球化学特征描述。最后,讨论了实验室数据的相关性和针对现场应用的实用建模工具的开发。