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dc.contributor.authorCampinez, Maria Dolores
dc.contributor.authorCaraballo, Isidoro
dc.contributor.authorPuchkov, Maxim
dc.contributor.authorKuentz, Martin
dc.date.accessioned2018-01-10T09:13:10Z
dc.date.available2018-01-10T09:13:10Z
dc.date.issued2017
dc.identifier.doi10.1208/s12249-016-0613-0
dc.identifier.urihttp://hdl.handle.net/11654/25787
dc.description.abstractThe aim of the present work was to better understand the drug-release mechanism from sustained release matrices prepared with two new polyurethanes, using a novel in silico formulation tool based on 3-dimensional cellular automata. For this purpose, two polymers and theophylline as model drug were used to prepare binary matrix tablets. Each formulation was simulated in silico, and its release behavior was compared to the experimental drug release profiles. Furthermore, the polymer distributions in the tablets were imaged by scanning electron microscopy (SEM) and the changes produced by the tortuosity were quantified and verified using experimental data. The obtained results showed that the polymers exhibited a surprisingly high ability for controlling drug release at low excipient concentrations (only 10% w/w of excipient controlled the release of drug during almost 8 h). The mesoscopic in silico model helped to reveal how the novel biopolymers were controlling drug release. The mechanism was found to be a special geometrical arrangement of the excipient particles, creating an almost continuous barrier surrounding the drug in a very effective way, comparable to lipid or waxy excipients but with the advantages of a much higher compactability, stability, and absence of excipient polymorphism.
dc.description.urihttps://link.springer.com/article/10.1208%2Fs12249-016-0613-0
dc.language.isoen_US
dc.relation.ispartofAAPS PharmSciTech
dc.accessRightsAnonymous
dc.subjectcontrolled release
dc.subjectdrug delivery systems
dc.subjectimaging methods
dc.subjectin silico modeling polyurethanes
dc.titleNovel polyurethane matrix systems reveal a particular release mechanism for sustained drug delivery by imaging and computational modeling
dc.type01 - Zeitschriftenartikel, Journalartikel oder Magazin
dc.volume18
dc.issue5
dc.audienceScience
fhnw.publicationStatePublished
fhnw.ReviewTypeAnonymous ex ante peer review of a complete publication
fhnw.InventedHereYes
fhnw.PublishedSwitzerlandYes
fhnw.pagination1544-1553
fhnw.IsStudentsWorkno
fhnw.publicationOnlineJa


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