Biofilm detection in a model well-bore environment using low-field magnetic resonance
dc.contributor.author | Kirkland, Catherine M. | |
dc.contributor.author | Hiebert, Dwight Randall | |
dc.contributor.author | Phillips, Adrienne J. | |
dc.contributor.author | Grunewald, Elliot | |
dc.contributor.author | Walsh, David O. | |
dc.contributor.author | Seymour, Joseph D. | |
dc.contributor.author | Codd, Sarah L. | |
dc.date.accessioned | 2016-11-29T18:55:39Z | |
dc.date.available | 2016-11-29T18:55:39Z | |
dc.date.issued | 2015-09 | |
dc.description.abstract | This research addresses the challenges of the lack of non-invasive methods and poor spatiotemporal resolution associated with monitoring biogeochemical activity central to bioremediation of subsurface contaminants. Remediation efforts often include growth of biofilm to contain or degrade chemical contaminants, such as nitrates, hydrocarbons, heavy metals, and some chlorinated solvents. Previous research indicates that nuclear magnetic resonance (NMR) is sensitive to the biogeochemical processes of biofilm accumulation. The current research focuses on developing methods to use low-cost NMR technology to support in situ monitoring of biofilm growth and geochemical remediation processes in the subsurface. Biofilm was grown in a lab-scale radial flow bioreactor designed to model the near wellbore subsurface environment. The Vista Clara Javelin NMR logging device, a slim down-the-borehole probe, collected NMR measurements over the course of eight days while biofilm was cultivated in the sand-packed reactor. Measured NMR mean log T2 relaxation times decreased from approximately 710 to 389 ms, indicating that the pore environment and bulk fluid properties were changing due to biofilm growth. Destructive sampling employing drop plate microbial population analysis and scanning electron and stereoscopic microscopy confirmed biofilm formation. Our findings demonstrate that the NMR logging tool can detect small to moderate changes in T2 distribution associated with environmentally relevant quantities of biofilm in quartz sand. | en_US |
dc.identifier.citation | Kirkland CM, Hiebert R, Phillips A, Grunewald E, Walsh DO, Seymour JD, Codd SL, "Biofilm detection in a model well-bore environment using low-field magnetic resonance," Groundwater Monitoring & Remediation 2015 Fall 35(4) 36–44. | en_US |
dc.identifier.issn | 1745-6592 | |
dc.identifier.uri | https://scholarworks.montana.edu/handle/1/12265 | |
dc.title | Biofilm detection in a model well-bore environment using low-field magnetic resonance | en_US |
dc.type | Article | en_US |
mus.citation.extentfirstpage | 36 | en_US |
mus.citation.extentlastpage | 44 | en_US |
mus.citation.issue | 4 | en_US |
mus.citation.journaltitle | Groundwater Monitoring & Remediation | en_US |
mus.citation.volume | 35 | en_US |
mus.data.thumbpage | 4 | en_US |
mus.identifier.category | Engineering & Computer Science | en_US |
mus.identifier.category | Life Sciences & Earth Sciences | en_US |
mus.identifier.doi | 10.1111/gwmr.12117 | en_US |
mus.relation.college | College of Agriculture | en_US |
mus.relation.college | College of Engineering | en_US |
mus.relation.college | College of Letters & Science | en_US |
mus.relation.department | Center for Biofilm Engineering. | en_US |
mus.relation.department | Chemical & Biological Engineering. | en_US |
mus.relation.department | Environmental Engineering. | en_US |
mus.relation.department | Microbiology & Immunology. | en_US |
mus.relation.researchgroup | Center for Biofilm Engineering. | en_US |
mus.relation.university | Montana State University - Bozeman | en_US |
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