Semicontinuous microcosm study of aerobic cometabolism of trichloroethylene using toluene

Han, Yuhui; Kuo, M.C.T.; Tseng, I-Cheng; Lu, Chun‐Ping

doi:10.1016/j.jhazmat.2007.03.013

Cited by 13 publications

(7 citation statements)

References 28 publications

(28 reference statements)

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“…7, σ attains a minimum at the first‐order rate constant of 0.3 and 0.2 L mg −1 day −1 for wells A2 and A3, respectively. The first‐order rate constant of TCE cometabolic degradation, k ′ TCE = 0.2 to 0.3 L mg −1 day −1 , determined from this pilot study agrees reasonably well with that measured in the laboratory microcosms, k ′ TCE = 0.3 L mg −1 day −1 and k ′ TCE = 0.07 to 0.15 L mg −1 day −1 21, 22…”

Section: Resultssupporting

confidence: 83%

“…Sorption of the contaminant (TCE) is modeled as an equilibrium process. The rate of TCE cometabolism can be approximated by a first‐order reaction when TCE concentration is low compared with the affinity constant of TCE 21, 22…”

Section: Model Developmentmentioning

confidence: 99%

“…The first-order rate constant of TCE cometabolic degradation, k TCE = 0.2 to 0.3 L mg −1 day −1 , determined from this pilot study agrees reasonably well with that measured in the laboratory microcosms, k TCE = 0.3 L mg −1 day −1 and k TCE = 0.07 to 0.15 L mg −1 day −1 . 21,22 Simulations of the TCE concentration at the A2 well are shown in Fig. 8(a).…”

Section: Tce Biodegradation Ratementioning

confidence: 99%

“…The rate of TCE cometabolism can be approximated by a first-order reaction when TCE concentration is low compared with the affinity constant of TCE. 21,22 The kinetic equations for the rates of microbial growth, primary substrate (toluene) removal, and contaminant (TCE) cometabolism are, respectively,…”

Section: Model Developmentmentioning

confidence: 99%

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Model simulations for in situ aerobic cometabolism of trichloroethylene

Kuo

Liang

et al. 2010

J of Chemical Tech & Biotech

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BACKGROUND: While overall removal of trichloroethylene (TCE) can be estimated from in situ pilot studies of aerobic cometabolism, no quantitative information on the relative importance of the biodegradation and sorption processes is currently available. This paper presents a quantitative method to evaluate the dynamics and the individual removal efficiencies of cometabolic biodegradation and sorption processes using model simulations for in situ aerobic cometabolism.

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Section: Resultssupporting

confidence: 83%

Section: Model Developmentmentioning

confidence: 99%

Section: Tce Biodegradation Ratementioning

confidence: 99%

Section: Model Developmentmentioning

confidence: 99%

See 2 more Smart Citations

Model simulations for in situ aerobic cometabolism of trichloroethylene

Kuo

Liang

et al. 2010

J of Chemical Tech & Biotech

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“…The yield coefficient ( Y ) can be determined from the slope of the straight line in Figure 7 or 0.14 g biomass/g toluene. An overall stoichiometry equation can be written for toluene oxidation and biosynthesis reactions, assuming that an empirical cell formula of C 5 H 7 O 2 N (McCarty 1975; Han et al 2007) applies: where f e represents the fraction of toluene oxidized and f s is the fraction synthesized. According to , mol of biomass is produced with 1 mol of toluene consumed.…”

Section: Resultsmentioning

confidence: 99%

The Effect of Toluene‐Substrate Concentration on Biological Clogging and Sloughing in Porous Media

Cheng¹,

Kuo²

2010

Groundwater Monitoring Rem

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One-dimensional flow experiments on biological clogging were carried out by biostimulating columns packed with glass beads, sterilized, and inoculated with toluene-utilizing bacteria. Biostimulation consisted of continuously injecting toluene at four concentrations (3.0 ± 0.9, 6.1 ± 0.8, 8.7 ± 1.6, and 11.3 ± 0.8 mg/L). The results of column flow experiments indicated that a threshold concentration of toluene exists below which the total biomass in the column can be kept at a steady-state level. The column cores were extruded and segmented to determine the biomass distribution throughout the column at clogging. Clogging resulted in a significant buildup of filamentous bacteria close to the inlet end. Based on the nucleotide sequence of 16S rRNA genes, the dominant filamentous bacteria were identified as Nocardia farcinica. A 235-d column experiment demonstrated that the clogging near injection points can be controlled by keeping the influent concentration of toluene below the threshold.the type of microorganisms involved in the clogging process with microscopic observation; (4) identify the dominant bacteria using molecular methods based on the nucleotide sequence of 16S rRNA genes; and (5) demonstrate that the clogging near injection points can be controlled by keeping the influent toluene concentration below a threshold with a long-term (235 d) column flow experiment. Materials and Methods Bacterial Culture and MediumThe microorganisms used in this study were initially collected from river sand. The microorganisms were then acclimated in a chemostat using toluene as the substrate to grow toluene-utilizing cells. The acclimated cultures were used as the cell source for enrichment with the glucose-limiting nutrient solution as follows (mg/L): glucose, 1000; (NH 4 ) 2 SO 4 , 500; MgSO 4 ·7H 2 O, 100; FeCl 3 ·6H 2 O, 0.5; CaCl 2 , 7.5; MnSO 4 ·H 2 O, 10; KH 2 PO 4 , 527; and K 2 HPO 4 , 1070. The enriched cells were used as inoculum for the column experiment.A one-dimensional (1D) flow experiment on biological clogging was carried out by biostimulating columns packed with glass beads, sterilized, and inoculated with tolueneutilizing bacteria. Biostimulation consisted of continuously injecting nutrient solution and toluene solution as the substrate to grow toluene-utilizing cells. The composition of the nutrient solution was as follows (mg/L): (NH 4 )

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