Porous Media 2010
DOI: 10.1201/9781420065428-6
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Mathematical Models of Mass Transfer in Tissue for Molecular Medicine with Reversible Electroporation

Abstract: This book contains information obtained from authentic and highly regarded sources. Reasonable efforts have been made to publish reliable data and information, but the author and publisher cannot assume responsibility for the validity of all materials or the consequences of their use. The authors and publishers have attempted to trace the copyright holders of all material reproduced in this publication and apologize to copyright holders if permission to publish in this form has not been obtained. If any copyri… Show more

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Cited by 15 publications
(11 citation statements)
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References 229 publications
(294 reference statements)
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“…Gerlach and Cunningham (2010) recently summarized permeability data from 78 previously published experiments covering a wide range of materials, initial permeabilities, and organisms. Log reductions in permeability in those experiments as a result of biomass growth ranged from 0.1 to 5.5 and averaged 1.9 (st. dev.…”
Section: Comparison To Previous Bioclogging Studiesmentioning
confidence: 99%
“…Gerlach and Cunningham (2010) recently summarized permeability data from 78 previously published experiments covering a wide range of materials, initial permeabilities, and organisms. Log reductions in permeability in those experiments as a result of biomass growth ranged from 0.1 to 5.5 and averaged 1.9 (st. dev.…”
Section: Comparison To Previous Bioclogging Studiesmentioning
confidence: 99%
“…How do CO 2 levels control the outcome of the interactions between different microorganisms? Filling these knowledge gaps is important because microorganisms can affect not only the chemical composition of aquifers but also the flow of groundwater (Gerlach and Cunningham, 2010; Flynn et al, 2013). In addition, many microbial reactions also affect the fate of CO 2 in aquifers.…”
Section: Introductionmentioning
confidence: 99%
“…Olsthoorn (1982) observed increasing injection rates hastens the physical clogging process, as more particles are delivered to the system per unit time. Biological clogging is influenced by nutrient availability, pH, temperature, mechanical and shear stresses, substrate surface area, osmotic pressure, and metabolic inhibitors (Characklis 1981;Or et al 2007;Pavelic et al 2007;Gerlach and Cunningham 2011). Free flowing bacteria act as particulates, clogging pores in a manner similar to physical clogging by suspended particles, and growth of attached bacterial colonies and their extracellular polymeric substances can develop to the point of filling pore spaces (Huisman and Olsthoorn 1983;Baveye et al 1998).…”
Section: Asr Clogging Issuesmentioning
confidence: 98%