Simulated and experimental evaluation of factors affecting the rate and extent of reductive dehalogenation of chloroethenes with glucose

Lee, Il-Su; Bae, Jinhee; Yang, Young-Soo; McCarty, Perry L.

doi:10.1016/j.jconhyd.2004.03.006

Cited by 46 publications

(59 citation statements)

References 14 publications

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“…Descriptions of biodegradation of chlorinated ethenes in DNAPL source zones have focused on the main reactants, i.e., chlorinated ethenes, (fermentable) e-donor, and competing TEAPs (e.g., [4,19,36,49]). However, geochemical interactions occur also -both in response to biodegradation reactions and independently -and may play a critical role in the dechlorination process (e.g., [9]).…”

Section: Introductionmentioning

confidence: 99%

Biological reduction of chlorinated solvents: Batch-scale geochemical modeling

Kouznetsova

Mao

Robinson

et al. 2010

Advances in Water Resources

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Simulation of biodegradation of chlorinated solvents in dense non-aqueous phase liquid (DNAPL) source zones requires a model that accounts for the complexity of processes involved and that is consistent with available laboratory studies. This paper describes such a comprehensive modeling framework that includes microbially mediated degradation processes, microbial population growth and decay, geochemical reactions, as well as interphase mass transfer processes such as DNAPL dissolution, gas formation and mineral precipitation/dissolution. All these processes can be in equilibrium or kinetically controlled. A batch modeling example was presented where the degradation of trichloroethene (TCE) and its byproducts and concomitant reactions (e.g., electron donor fermentation, sulfate reduction, pH buffering by calcite dissolution) were simulated. Local and global sensitivity analysis techniques were applied to delineate the dominant model parameters and processes. Sensitivity analysis indicated that accurate values for parameters related to dichloroethene (DCE) and vinyl chloride (VC) degradation (i.e., DCE and VC maximum utilization rates, yield due to DCE utilization, decay rate for DCE/VC dechlorinators) are important for prediction of the overall dechlorination time. These parameters influence the maximum growth rate of the DCE and VC dechlorinating microorganisms and, thus, the time required for a small initial population to reach a sufficient concentration to significantly affect the overall rate of dechlorination. Self-inhibition of chlorinated ethenes at high concentrations and natural buffering provided by the sediment were also shown to significantly influence the dechlorination time. Furthermore, the analysis indicated that the rates of the competing, nonchlorinated electron-accepting processes relative to the dechlorination kinetics also affect the overall dechlorination time. Results demonstrated that the model developed is a flexible research tool that is able to provide valuable insight into the fundamental processes and their complex interactions during bioremediation of chlorinated ethenes in DNAPL source zones.

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Section: Introductionmentioning

confidence: 99%

Biological reduction of chlorinated solvents: Batch-scale geochemical modeling

Kouznetsova

Mao

Robinson

et al. 2010

Advances in Water Resources

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“…Chlorinated solvent degradation was assumed to follow Monod kinetics (Fennell and Gossett, 1998;Lee et al, 2004;Christ and Abriola, 2006): …”

Section: Kinetic Model For Reductive Dechlorinationmentioning

confidence: 99%

“…A number of models capable of simulating organohalide respiration kinetics have been presented in the literature that incorporate electron donor flux (i.e., fermentation) and competition (i.e., methanogenesis) (e.g. Bagley, 1998;Fennell and Gossett, 1998;Lee et al, 2004;Yu et al, 2004, Becker, 2006Huang and Becker, 2009;Becker and Seagren, 2009;Haest et al, 2010;Kouznetsova et al, 2010;5 Sabalowsky and Semprini, 2010;Huang and Becker, 2011). These models, however, are limited to the simulation of dechlorination in batch reactors or single-phase, aqueous systems.…”

Section: Introductionmentioning

confidence: 99%

Microbially enhanced dissolution and reductive dechlorination of PCE by a mixed culture: Model validation and sensitivity analysis

Chen¹,

Abriola²,

Amos³

et al. 2013

Journal of Contaminant Hydrology

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Reductive dechlorination catalyzed by organohalide-respiring bacteria is often considered for remediation of non-aqueous phase liquid (NAPL) source zones due to cost savings, ease of implementation, regulatory acceptance, and sustainability. Despite knowledge of the key dechlorinators, an understanding of the processes and factors that control NAPL dissolution rates and detoxification (i.e., ethene formation) is lacking. A recent column study demonstrated a 5-fold cumulative enhancement in tetrachloroethene (PCE) dissolution and ethene formation to ethene, as well as column length and flow rate (i.e., column residence time). If cis-DCE 3 inhibition was neglected, the model over-predicted ethene production nine fold, while reductions in residence time (i.e., a two-fold decrease in column length or two-fold increase in flow rate) resulted in a more than 70% decline in ethene production. These results demonstrate that spatial and temporal microbial community dynamics and activity must be understood to model, predict, and manage bioenhanced NAPL dissolution.

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“…The less complete conversion of cis-DCE in this column is likely associated with the addition of anaerobic digester sludge to this column. Lee et al (2004) showed that changes in the relative distribution of the different trophic groups (PCE and cis-DCE dehalogenators, methanogens, and different fermenter groups) in the initial inoculum can have a substantial impact on the amount of ethene produced and the fraction of H 2 used for methane production. The shorter HRT for column #3 (~ 20 days) compared to column #2 (~ 33 days) may also have contributed to less efficient conversion of cis-DCE.…”

Section: Chlorinated Ethenes In Effluentmentioning

confidence: 99%

Development of Permeable Reactive Barriers (PRB) Using Edible Oils

Borden¹

2008

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Simulated and experimental evaluation of factors affecting the rate and extent of reductive dehalogenation of chloroethenes with glucose

Cited by 46 publications

References 14 publications

Biological reduction of chlorinated solvents: Batch-scale geochemical modeling

Biological reduction of chlorinated solvents: Batch-scale geochemical modeling

Microbially enhanced dissolution and reductive dechlorination of PCE by a mixed culture: Model validation and sensitivity analysis

Development of Permeable Reactive Barriers (PRB) Using Edible Oils

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