Journal article
Modeling chromate reduction in Shewanella oneidensis MR-1: development of a novel dual-enzyme kinetic model
Biotechnology and bioengineering, Vol.83(7), pp.790-797
09/30/2003
Handle:
https://hdl.handle.net/2376/110773
PMID: 12889019
Abstract
Chromate (Cr(VI)) reduction tests were performed with nitrate- and fumarate-grown stationary phase cultures of Shewanella oneidensis MR-1 (henceforth referred to as MR-1) and disappearance of Cr(VI) was monitored over time. A rapid initial decrease in Cr(VI) concentration was observed, which was followed by a slower, steady decrease. These observations appear to be consistent with our previous results indicating that Cr(VI) reduction in MR-1 involves at least two mechanisms (Viamajala et al., 2002b). Modeling of metal reduction kinetics is often based on single-enzyme Michaelis-Menten equations. However, these models are often developed using initial rates and do not always match actual reduction profiles. Based on the hypothesis that multiple Cr(VI) reduction mechanisms exist in MR-1, a model was developed to describe the kinetics of Cr(VI) reduction by two parallel mechanisms: (1) a rapid Cr(VI) reduction mechanism that was deactivated (or depleted) quickly, and (2) a slower mechanism that had a constant activity and was sustainable for a longer duration. Kinetic parameters were estimated by fitting experimental data, and model fits were found to correspond very closely to quantitative observations of Cr(VI) reduction by MR-1.
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Details
- Title
- Modeling chromate reduction in Shewanella oneidensis MR-1: development of a novel dual-enzyme kinetic model
- Creators
- Sridhar Viamajala - Department of Chemical Engineering, WSU/NSF IGERT Center for Multiphase Environmental Research, Washington State University, P.O. Box 642719, Pullman, WA 99164-2719, USABrent M PeytonJames N Petersen
- Publication Details
- Biotechnology and bioengineering, Vol.83(7), pp.790-797
- Academic Unit
- Chemical Engineering and Bioengineering, School of
- Publisher
- United States
- Identifiers
- 99900547374901842
- Language
- English
- Resource Type
- Journal article