dc.contributor.advisor | Liljestrand, Howard M. (Howard Michael) | en |
dc.contributor.advisor | Katz, Lynn Ellen | en |
dc.creator | Kwon, Jung-Hwan | en |
dc.date.accessioned | 2008-08-28T23:06:51Z | en |
dc.date.available | 2008-08-28T23:06:51Z | en |
dc.date.issued | 2006 | en |
dc.identifier | b6546428x | en |
dc.identifier.uri | http://hdl.handle.net/2152/2753 | en |
dc.description | text | en |
dc.description.abstract | The bioavailability of endocrine disrupting chemicals (EDCs) is a function of a
number of parameters including the ability of the chemical to partition into organic tissue
and reach receptor sites within an organism. In this dissertation, equilibrium partition
coefficients between water and lipid membrane vesicles and artificial lipid membrane
permeability were investigated for evaluating bioavailability of aqueous pollutants.
Structurally diverse endocrine disrupting chemicals were chosen as model compounds for
partitioning experiments and simple hydrophobic organic chemicals were used for the
evaluation of a parallel artificial membrane device developed to mimic bioconcentration
rates in fish.
Hydrophobic interactions represented by octanol/water partition coefficients
(KOWs) were not appropriate for estimating lipid membrane/water partition coefficients
(Klipws) for the selected EDCs having a relatively large molar liquid volume (MLV) and
containing polar functional groups. Correlations that include MLV and polar surface area
(PSA) reduce the predicted value of log Klipw, suggesting that lipid membranes are less
vii
favorable than 1-octanol for a hydrophobic solute because of the changes in membrane
fluidity and the amount of cholesterol in the lipid bilayers. These results suggested that
KOW alone has limited potential for estimating Klipw, and MLV or PSA may be used as
additional descriptors for developing quantitative structure-activity relationships
(QSARs). The poor correlations between KOW and Klipw observed in this research may be
due to the highly organized structure of lipid bilayers. Measured thermodynamic
constants demonstrated that the entropy contribution becomes more dominant for more
organized liposomes having saturated lipid tails. This implies that entropy-driven
partitioning process makes Klipw different from KOW especially for more saturated lipid
bilayer membranes.
In the parallel artificial membrane system developed, a membrane filter-supported
lipid bilayer separates two aqueous phases that represent the external and internal
aqueous environments of fish. The thickness of the aqueous mass transfer boundary layer
was carefully adjusted to mimic bioconcentration rate parameters in small fish. For the
selected twenty-three simple aromatic hydrocarbons, literature absorption/elimination
rates fall within the range predicted from measured membrane permeabilities and
elimination rates of the selected chemicals using a diffusion mass transfer model. A
simple equilibrium binding model for EDCs to estrogen receptors was applied to
potentially link the developed artificial membrane system to existing toxicity assays and
to better utilize in vitro toxicity data. | |
dc.format.medium | electronic | en |
dc.language.iso | eng | en |
dc.rights | Copyright is held by the author. Presentation of this material on
the Libraries' web site by University Libraries, The University of Texas at Austin was made
possible under a limited license grant from the author who has retained all copyrights in
the works. | en |
dc.subject.lcsh | Endocrine glands--Diseases | en |
dc.subject.lcsh | Pollution--Physiological effect | en |
dc.subject.lcsh | Pollutants--Bioavailability | en |
dc.title | Bioavailability of endocrine disrupting chemicals (EDCs): liposome-water partitioning and lipid membrane permeation | en |
dc.description.department | Civil, Architectural, and Environmental Engineering | en |
dc.identifier.oclc | 156507423 | en |
dc.type.genre | Thesis | en |
thesis.degree.department | Civil, Architectural, and Environmental Engineering | en |
thesis.degree.discipline | Civil Engineering | en |
thesis.degree.grantor | The University of Texas at Austin | en |
thesis.degree.level | Doctoral | en |
thesis.degree.name | Doctor of Philosophy | en |