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dc.contributor.advisorYalkowsky, Samuel H.en_US
dc.contributor.authorAldhubiab, Bandar Essa
dc.creatorAldhubiab, Bandar Essaen_US
dc.date.accessioned2011-12-06T13:51:11Z
dc.date.available2011-12-06T13:51:11Z
dc.date.issued2010en_US
dc.identifier.urihttp://hdl.handle.net/10150/195415
dc.description.abstractThree solution models: ideal, regular, and quasi- regular, were used to predict the melting point of eutectic mixtures containing Polyethylene Glycol (PEG) 400 and PEG 4000 with nine poorly water- soluble drugs: 1-naphthoic acid, estrone, griseofulvin, indomethacin, phenobarbital, paracetamol, salicylic acid, salicylamide and naproxen. PEG 400 was physically mixed with drug at different weight percentages to determine the melting points of the pure drugs and the melting point depression using Differential Scanning Calorimetry (DSC). The PEG 4000 eutectic mixtures were processed by the solvent evaporation method. In both the PEG 400 and PEG 4000 study, the quasi-regular solution model accounted for the most realistic conditions of entropy and enthalpy of the mixtures compared to ideal and regular solution models.
dc.language.isoenen_US
dc.publisherThe University of Arizona.en_US
dc.rightsCopyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.en_US
dc.subjecteutecticen_US
dc.subjectmelting pointen_US
dc.subjectsolid dispersionen_US
dc.subjectsolubilityen_US
dc.titlePrediction of Melting Point Lowering in Eutectic Mixturesen_US
dc.typetexten_US
dc.typeElectronic Dissertationen_US
dc.contributor.chairYalkowsky, Samuel H.en_US
dc.identifier.oclc752260999en_US
thesis.degree.grantorUniversity of Arizonaen_US
thesis.degree.leveldoctoralen_US
dc.contributor.committeememberMayersohn, Michaelen_US
dc.contributor.committeememberMyrdal, Paulen_US
dc.identifier.proquest11142en_US
thesis.degree.disciplinePharmaceutical Sciencesen_US
thesis.degree.disciplineGraduate Collegeen_US
thesis.degree.namePh.D.en_US
refterms.dateFOA2018-07-02T17:36:22Z
html.description.abstractThree solution models: ideal, regular, and quasi- regular, were used to predict the melting point of eutectic mixtures containing Polyethylene Glycol (PEG) 400 and PEG 4000 with nine poorly water- soluble drugs: 1-naphthoic acid, estrone, griseofulvin, indomethacin, phenobarbital, paracetamol, salicylic acid, salicylamide and naproxen. PEG 400 was physically mixed with drug at different weight percentages to determine the melting points of the pure drugs and the melting point depression using Differential Scanning Calorimetry (DSC). The PEG 4000 eutectic mixtures were processed by the solvent evaporation method. In both the PEG 400 and PEG 4000 study, the quasi-regular solution model accounted for the most realistic conditions of entropy and enthalpy of the mixtures compared to ideal and regular solution models.


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