Modeling contaminant transport in polyethylene and metal speciation in saliva

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dc.contributor.authorTang, Jiaen
dc.contributor.committeechairDietrich, Andrea M.en
dc.contributor.committeememberEdwards, Marc A.en
dc.contributor.committeememberGallagher, Daniel L.en
dc.contributor.departmentEnvironmental Engineeringen
dc.date.accessioned2014-03-14T20:40:29Zen
dc.date.adate2010-07-13en
dc.date.available2014-03-14T20:40:29Zen
dc.date.issued2010-06-17en
dc.date.rdate2013-05-21en
dc.date.sdate2010-06-24en
dc.description.abstractProperties of both chemical contaminants and polymers can impact contaminant diffusivity and solubility in new and aged polyethylene materials for pipes and geomembranes. Diffusivity, solubility, polymer and chemical properties were measured for thirteen contaminants and six polyethylene materials that were new and/or aged in chlorinated water. Tree regression was used to select variables, and linear regression was used to develop predictive equations for contaminant diffusivity and solubility in polyethylene. Organic contaminant properties had greater predictive capability than polyethylene properties. Model coefficients significantly changed between new materials to chlorine-aged materials, indicating changes of polyethylene properties impact the interaction between contaminants and polymers. The metallic flavor of copper in drinking water influences the taste of water and can cause the taste problems for water utilities. The mechanism of metallic flavor caused by these metals is related to free or soluble ions. Free copper concentrations were measured at different pH in diluted artificial saliva using a cupric ion selective electrode. Three major proteins in human saliva: α-amylase, mucin and lactoferrin, were added in the artificial saliva and the impacts on the chemical speciation of copper were analyzed. Inorganic saliva components, typically phosphate, carbonate and hydroxide combined with copper and greatly influenced the levels of free copper in the oral cavity. Proteins such as α-amylase, mucin and lactoferrin also impacted the chemical speciation of copper, with different affinity to copper. Mucin had the greatest affinity with copper than α-amylase.en
dc.description.degreeMaster of Scienceen
dc.identifier.otheretd-06242010-155132en
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-06242010-155132/en
dc.identifier.urihttp://hdl.handle.net/10919/33734en
dc.publisherVirginia Techen
dc.relation.haspartTang_J_T_2010.pdfen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectzincen
dc.subjectironen
dc.subjectflavoren
dc.subjectchemical speciationen
dc.subjectartificial salivaen
dc.subjectModelingen
dc.subjectpolyethylene pipeen
dc.subjectgeomembraneen
dc.subjectdiffusivityen
dc.subjectsolubilityen
dc.subjectpolymeren
dc.subjectcopperen
dc.titleModeling contaminant transport in polyethylene and metal speciation in salivaen
dc.typeThesisen
thesis.degree.disciplineEnvironmental Planningen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.levelmastersen
thesis.degree.nameMaster of Scienceen

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