Visualization and characterization of biofilm spatial distribution in porous media using x-ray computed microtomography Public Deposited

http://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/7s75dg961

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  • This work focuses primarily the development of methods for imaging microbial biofilms in opaque porous media using x-ray computed microtomography (CT). Two methods for evaluating biofilms in porous media are presented. The first focuses on the addition of silver-coated, hollow glass microspheres to a biofilm-containing micro-model. The silver-coated microspheres affix to the surface of biofilm present in the hydraulically available pore space providing a surface coating at the biofilm-aqueous phase interface which is detectable using synchrotron-based CT scanning. Through image processing, the silver microspheres were able to be isolated and a triangulated mesh representing the biofilm surface was able to be reconstructed and quantified. The second method focuses on the addition of a pore-filling barium sulfate contrast agent to biofilm column growth reactors. Methods for analyzing and quantifying data sets collected using both polychromatic and monochromatic (synchrotron-based) CT are presented. Finally, the barium sulfate method for imaging biofilm using synchrotron-based x-ray CT is applied to a biofilm growth experiment evaluating growth of Shewanella oneidensis under hydraulic loading rates corresponding to Reynolds numbers of 0.1, 1.0 and 10. Results from this study show good agreement between laboratory measured changes in hydraulic conductivity and hydraulic conductivity estimates generated using the segmented CT data sets and the Kozeny-Carman model for estimating hydraulic conductivity using porosity measures.
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  • description.provenance : Approved for entry into archive by Laura Wilson(laura.wilson@oregonstate.edu) on 2013-09-20T22:22:28Z (GMT) No. of bitstreams: 2 license_rdf: 1536 bytes, checksum: df76b173e7954a20718100d078b240a8 (MD5) IltisGabrielC2013.pdf: 4941533 bytes, checksum: be2738e7fd577c9bd4ca2ed418f11ee3 (MD5)
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