Literature DB >> 15358499

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

Il-Su Lee1, Jae-Ho Bae, Yanru Yang, Perry L McCarty.   

Abstract

Carbohydrates such as molasses are being added to aquifers to serve as electron donors for reductive dehalogenation of chloroethenes. Glucose, as a model carbohydrate, was studied to better understand the processes involved and to evaluate the effectiveness for dehalogenation of different approaches for carbohydrate addition. A simulation model was developed and calibrated with experimental data for the reductive dehalogenation of tetrachloroethene to ethene via cis-1,2-dichloroethene. The model included fermentors that convert the primary donor (glucose) into butyrate, acetate and hydrogen, methanogens, and two separate dehalogenator groups. The dehalogenation groups use the hydrogen intermediate as an electron donor and the different haloethenes as electron acceptors through competitive inhibition. Model simulations suggest first that the initial relative population size of dehalogenators and H(2)-utilizing methanogens greatly affects the degree of dehalogenation achieved. Second, the growth and decay of biomass from soluble carbohydrate plays a significant role in reductive dehalogenation. Finally, the carbohydrate delivery strategies used (periodic versus batch addition and the time interval between periodic addition) greatly affect the degree of dehalogenation that can be obtained with a given amount of added carbohydrate.

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Year:  2004        PMID: 15358499     DOI: 10.1016/j.jconhyd.2004.03.006

Source DB:  PubMed          Journal:  J Contam Hydrol        ISSN: 0169-7722            Impact factor:   3.188


  2 in total

1.  Effects of Sulfate Reduction on Trichloroethene Dechlorination by Dehalococcoides-Containing Microbial Communities.

Authors:  Xinwei Mao; Alexandra Polasko; Lisa Alvarez-Cohen
Journal:  Appl Environ Microbiol       Date:  2017-03-31       Impact factor: 4.792

2.  Modelling of spatial contaminant probabilities of occurrence of chlorinated hydrocarbons in an urban aquifer.

Authors:  Tillman Greis; Kathrin Helmholz; Hans Matthias Schöniger; Andreas Haarstrick
Journal:  Environ Monit Assess       Date:  2011-08-20       Impact factor: 2.513

  2 in total

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