Literature DB >> 21652106

Microbial physiology-based model of ethanol metabolism in subsurface sediments.

Qusheng Jin1, Eric E Roden.   

Abstract

A biogeochemical reaction model was developed based on microbial physiology to simulate ethanol metabolism and its influence on the chemistry of anoxic subsurface environments. The model accounts for potential microbial metabolisms that degrade ethanol, including those that oxidize ethanol directly or syntrophically by reducing different electron acceptors. Out of the potential metabolisms, those that are active in the environment can be inferred by fitting the model to experimental observations. This approach was applied to a batch sediment slurry experiment that examined ethanol metabolism in uranium-contaminated aquifer sediments from Area 2 at the U.S. Department of Energy Field Research Center in Oak Ridge, TN. According to the simulation results, complete ethanol oxidation by denitrification, incomplete ethanol oxidation by ferric iron reduction, ethanol fermentation to acetate and H(2), hydrogenotrophic sulfate reduction, and acetoclastic methanogenesis: all contributed significantly to the degradation of ethanol in the aquifer sediments. The assemblage of the active metabolisms provides a frame work to explore how ethanol amendment impacts the chemistry of the environment, including the occurrence and levels of uranium. The results can also be applied to explore how diverse microbial metabolisms impact the progress and efficacy of bioremediation strategies.
Copyright © 2011 Elsevier B.V. All rights reserved.

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Year:  2011        PMID: 21652106     DOI: 10.1016/j.jconhyd.2011.04.002

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


  5 in total

1.  Sustained Ability of a Natural Microbial Community to Remove Nitrate from Groundwater.

Authors:  Charles J Paradis; John I Miller; Ji-Won Moon; Sarah J Spencer; Lauren M Lui; Joy D Van Nostrand; Daliang Ning; Andrew D Steen; Larry D McKay; Adam P Arkin; Jizhong Zhou; Eric J Alm; Terry C Hazen
Journal:  Ground Water       Date:  2021-09-22       Impact factor: 2.887

2.  Thermodynamic and Kinetic Response of Microbial Reactions to High CO2.

Authors:  Qusheng Jin; Matthew F Kirk
Journal:  Front Microbiol       Date:  2016-11-17       Impact factor: 5.640

3.  Regulation-Structured Dynamic Metabolic Model Provides a Potential Mechanism for Delayed Enzyme Response in Denitrification Process.

Authors:  Hyun-Seob Song; Dennis G Thomas; James C Stegen; Minjing Li; Chongxuan Liu; Xuehang Song; Xingyuan Chen; Jim K Fredrickson; John M Zachara; Timothy D Scheibe
Journal:  Front Microbiol       Date:  2017-09-29       Impact factor: 5.640

4.  Limited Mechanistic Link Between the Monod Equation and Methanogen Growth: a Perspective from Metabolic Modeling.

Authors:  Qusheng Jin; Qiong Wu; Benjamin M Shapiro; Shannon E McKernan
Journal:  Microbiol Spectr       Date:  2022-03-03

5.  Representing Organic Matter Thermodynamics in Biogeochemical Reactions via Substrate-Explicit Modeling.

Authors:  Hyun-Seob Song; James C Stegen; Emily B Graham; Joon-Yong Lee; Vanessa A Garayburu-Caruso; William C Nelson; Xingyuan Chen; J David Moulton; Timothy D Scheibe
Journal:  Front Microbiol       Date:  2020-10-23       Impact factor: 5.640

  5 in total

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