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dc.creatorLinares Blasco, Vicentees
dc.creatorGaldón, Eduardoes
dc.creatorCasas Delgado, Martaes
dc.creatorCaraballo Rodríguez, Isidoroes
dc.date.accessioned2022-06-08T13:02:58Z
dc.date.available2022-06-08T13:02:58Z
dc.date.issued2021
dc.identifier.citationLinares Blasco, V., Galdón, E., Casas Delgado, M. y Caraballo Rodríguez, I. (2021). Critical points for predicting 3D printable filaments behaviour. Journal of Drug Delivery Science and Technology, 63, 102933.
dc.identifier.issn1773-2247es
dc.identifier.urihttps://hdl.handle.net/11441/134214
dc.description.abstractFractal dimension has been employed for the first time to provide key information about the behaviour of extruded filaments. High drug loaded filaments made of thermoplastic polyurethane and anhydrous theophylline (10–70% w/w of drug content) have been obtained by using a single screw extruder. Fractal analysis was carried out based on the measures of the perimeter of the filaments at different magnification levels, using the box-counting technique approach. The fractal dimension values showed a critical point at 37.8% w/w of drug, which agrees with the behaviour of the printability of the filaments by FDM. The drug percolation threshold derived from drug release results was also in agreement with this critical point. Thus, both approaches concur in the estimation of a critical point around 38% w/w of drug, where printability and dissolution behaviour dramatically change. Therefore, the Fractal Dimension analysis could be considered as a non-destructive, non-expensive and fast method for estimating a crucial parameter for FDM 3D printing as is printability of the filament.es
dc.description.sponsorshipMCIN/AEI RTI2018-095041-B-C31es
dc.formatapplication/pdfes
dc.format.extent8 p.es
dc.language.isoenges
dc.publisherElsevieres
dc.relation.ispartofJournal of Drug Delivery Science and Technology, 63, 102933.
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subject3D printinges
dc.subjectFused deposition modelinges
dc.subjectPercolation theoryes
dc.subjectFractal dimensiones
dc.subjectPrintabilityes
dc.titleCritical points for predicting 3D printable filaments behavioures
dc.typeinfo:eu-repo/semantics/articlees
dcterms.identifierhttps://ror.org/03yxnpp24
dc.type.versioninfo:eu-repo/semantics/publishedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Farmacia y Tecnología Farmacéuticaes
dc.relation.projectIDRTI2018-095041-B-C31es
dc.relation.publisherversionhttps://dx.doi.org/10.1016/j.jddst.2021.102933es
dc.identifier.doi10.1016/j.jddst.2021.102933es
dc.journaltitleJournal of Drug Delivery Science and Technologyes
dc.publication.volumen63es
dc.publication.initialPage102933es
dc.contributor.funderMinisterio de Ciencia e Innovación (MICIN). Españaes

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