On Modeling Ensemble Transport of Metal Reducing Motile Bacteria
Abstract
Accurate numerical models of bioremediation are needed to support design and evaluation of field implementations. While several models of bacterial processes do not consider their ensemble motion, some models treat motility using an advection diffusion equation (ADE). In this study, Geobacter and Pelosinus, two metal reducing species, are used in micromodel experiments for study of their motility characteristics, as a prelude to development and testing of new models of bacterial transport during bioremediation. A sequence of experiments was conducted to quantify the two-dimensional movement patterns of individual cells in micro-models in the absence of flow. Trajectories of individual cells on the order of several seconds to few minutes in duration are analyzed to provide information on (1) the length of runs, and (2) time needed to complete a run (waiting or residence time). A Continuous Time Random Walk (CTRW) model to predict ensemble breakthrough plots is developed based on the motility statistics. The results of the CTRW model and an ADE model are compared with the real breakthrough plots obtained directly from the trajectories. The ADE model is shown to be insufficient, whereas a coupled CTRW model is found to be good at predicting breakthroughs at short distances and atmore »
- Authors:
- Publication Date:
- Research Org.:
- Pacific Northwest National Laboratory (PNNL), Richland, WA (United States); Nevada System of Higher Education (NSHE) - Desert Research Institute, Reno, NV (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Biological and Environmental Research (BER)
- Contributing Org.:
- Environmental Molecular Sciences Laboratory (Pacific Northwest National Lab)
- OSTI Identifier:
- 1619610
- Alternate Identifier(s):
- OSTI ID: 1577077; OSTI ID: 1659517
- Report Number(s):
- PNNL-SA-134947
Journal ID: ISSN 2045-2322; 14638; PII: 51271
- Grant/Contract Number:
- SC0019437; AC05-76RL01830
- Resource Type:
- Published Article
- Journal Name:
- Scientific Reports
- Additional Journal Information:
- Journal Name: Scientific Reports Journal Volume: 9 Journal Issue: 1; Journal ID: ISSN 2045-2322
- Publisher:
- Nature Publishing Group
- Country of Publication:
- United Kingdom
- Language:
- English
- Subject:
- 59 BASIC BIOLOGICAL SCIENCES; 54 ENVIRONMENTAL SCIENCES; 60 APPLIED LIFE SCIENCES; Microbial Motility; Bioremediation; Transport Models
Citation Formats
Yang, Xueke, Parashar, Rishi, Sund, Nicole L., Plymale, Andrew E., Scheibe, Timothy D., Hu, Dehong, and Kelly, Ryan T. On Modeling Ensemble Transport of Metal Reducing Motile Bacteria. United Kingdom: N. p., 2019.
Web. doi:10.1038/s41598-019-51271-0.
Yang, Xueke, Parashar, Rishi, Sund, Nicole L., Plymale, Andrew E., Scheibe, Timothy D., Hu, Dehong, & Kelly, Ryan T. On Modeling Ensemble Transport of Metal Reducing Motile Bacteria. United Kingdom. https://doi.org/10.1038/s41598-019-51271-0
Yang, Xueke, Parashar, Rishi, Sund, Nicole L., Plymale, Andrew E., Scheibe, Timothy D., Hu, Dehong, and Kelly, Ryan T. Thu .
"On Modeling Ensemble Transport of Metal Reducing Motile Bacteria". United Kingdom. https://doi.org/10.1038/s41598-019-51271-0.
@article{osti_1619610,
title = {On Modeling Ensemble Transport of Metal Reducing Motile Bacteria},
author = {Yang, Xueke and Parashar, Rishi and Sund, Nicole L. and Plymale, Andrew E. and Scheibe, Timothy D. and Hu, Dehong and Kelly, Ryan T.},
abstractNote = {Accurate numerical models of bioremediation are needed to support design and evaluation of field implementations. While several models of bacterial processes do not consider their ensemble motion, some models treat motility using an advection diffusion equation (ADE). In this study, Geobacter and Pelosinus, two metal reducing species, are used in micromodel experiments for study of their motility characteristics, as a prelude to development and testing of new models of bacterial transport during bioremediation. A sequence of experiments was conducted to quantify the two-dimensional movement patterns of individual cells in micro-models in the absence of flow. Trajectories of individual cells on the order of several seconds to few minutes in duration are analyzed to provide information on (1) the length of runs, and (2) time needed to complete a run (waiting or residence time). A Continuous Time Random Walk (CTRW) model to predict ensemble breakthrough plots is developed based on the motility statistics. The results of the CTRW model and an ADE model are compared with the real breakthrough plots obtained directly from the trajectories. The ADE model is shown to be insufficient, whereas a coupled CTRW model is found to be good at predicting breakthroughs at short distances and at early times, but not at late time and long distances. The inadequacies of the simple CTRW model can possibly be improved by accounting for correlation in run length and waiting time.},
doi = {10.1038/s41598-019-51271-0},
journal = {Scientific Reports},
number = 1,
volume = 9,
place = {United Kingdom},
year = {Thu Oct 10 00:00:00 EDT 2019},
month = {Thu Oct 10 00:00:00 EDT 2019}
}
https://doi.org/10.1038/s41598-019-51271-0
Web of Science
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