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Kinetics of trichloroethylene and toluene toxicity to Pseudomonas putida F1
Journal article   Open access   Peer reviewed

Kinetics of trichloroethylene and toluene toxicity to Pseudomonas putida F1

Rajveer Singh and Mira Stone Olson
Environmental toxicology and chemistry, v 29(1)
Jan 2010
PMID: 20821419
url
https://doi.org/10.1002/etc.14View
Published, Version of Record (VoR)Maybe Open Access (Publisher Bronze) Open

Abstract

Biodegradation, Environmental Pseudomonas putida - metabolism Water Pollutants, Chemical - toxicity Pseudomonas putida - drug effects Fresh Water - analysis Chemotaxis - drug effects Kinetics Toluene - toxicity Trichloroethylene - toxicity
The goal of the present study was to elucidate the distribution of viable bacteria in chemical gradients and to evaluate the toxic effect of high concentrations of contaminants on contaminant-degrading bacteria under prolonged exposure. Accumulations of viable Pseudomonas putida F1 (P. putida F1) cells were observed surrounding trichloroethylene (TCE)-containing plugs. Results from this work indicate that P. putida F1 immediately adjacent to a TCE source become nonviable, whereas cells accumulating farther away use chemotaxis to migrate toward regions with optimal chemical concentrations in the form of concentrated bacterial bands. A method was developed to test the toxicity of model contaminant stressors, TCE and toluene, to P. putida F1; data obtained from toxicity experiments were fit to linear and exponential bacterial viability-decay models. Toxicity of TCE to P. putida F1 was best described with an exponential viability-decay model, with a viability-decay constant k(TCE) = 0.025 h(-4.95) (r(2) = 0.965). Toluene toxicity showed a marginally better fit to the linear viability-decay model (r(2) = 0.976), with a viability-decay constant k(toluene) = 0.208 h(-1). Best-fit model parameters obtained for both TCE and toluene were used to predict bacterial viability in toxicity experiments with higher contaminant concentrations and matched well with experimental data. Results from the present study can be used to predict bacterial accumulation and viability near nonaqueous-phase liquid (NAPL) sources in groundwater and may be helpful in designing bioremediation strategies for sites contaminated with residual NAPLs.

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