Kinetics and modeling of reductive dechlorination at high PCE and TCE concentrations.
Two biokinetic models employing the Michaelis-Menten equation for anaerobic reductive dechlorination of tetrachloroethylene (PCE) and trichloroethylene (TCE) were developed. The models were compared with results from batch kinetic tests conducted over a wide range of PCE and TCE concentrations with two different dechlorinating cultures. One model applies Michaelis-Menten kinetics with competitive inhibition among chlorinated aliphatic hydrocarbons (CAHs), while the other model includes both competitive inhibition and Haldane inhibition at high CAH concentrations. Model simulations with competitive inhibition simulated the experimental results well for PCE concentrations lower than 300 microM. However, simulations deviated from the experimental observations for PCE or TCE concentrations greater than 300-400 microM. The kinetic model that incorporated both competitive and Haldane inhibitions better simulated experimental data for PCE concentrations near the solubility limit (1000 microM), and TCE concentrations at half its solubility limit (4000 microM). Based on the modeling analysis of the experimental results, the PM culture (Point Mugu, CA) had very high Haldane inhibition constants for cis-1,2-dichlororethylene (c-DCE) and vinyl chloride (VC) (6000 and 7000 microM, respectively), indicating very weak Haldane inhibition, while the EV culture (the Evanite site in Corvallis, OR) had lower Haldane inhibition constants for TCE, c-DCE, and VC of 900, 750, and 750 microM, respectively. The BM culture (a binary mixed culture of the PM and EV cultures) had transformation abilities that represented the mixture of the EV and PM cultures. Model simulations of the BM culture transformation abilities were well represented by separate rate equations and model parameters for the two independent cultures that were simultaneously solved. Modeling results indicated that a combination of competitive and Haldane inhibition kinetics is required to simulate dechlorination over a broad range of concentrations up to the solubility limit of PCE and half the solubility limit of TCE.
Yu
Seungho
S
Department of Civil, Construction, and Environmental Engineering, Oregon State University, Corvallis, Oregon 97331, USA.
Semprini
Lewis
L
D001421:Bacteria, Anaerobic / Q000254:growth & development* / Q000378:metabolism*; D001673:Biodegradation, Environmental; D019149:Bioreactors / Q000382:microbiology*; D018929:Cell Culture Techniques / Q000379:methods*; D049109:Cell Proliferation; D002470:Cell Survival; D002713:Chlorine / Q000378:metabolism*; D003198:Computer Simulation; D007700:Kinetics; D008657:Metabolic Clearance Rate; D008954:Models, Biological; D010084:Oxidation-Reduction; D013750:Tetrachloroethylene / Q000378:metabolism*; D014241:Trichloroethylene / Q000378:metabolism*
D014241:Trichloroethylene; D002713:Chlorine; D013750:Tetrachloroethylene