A Finite Element Method for Modeling Diffusion and Drug Release from Nanocellulose/Nanoporous Silicon Composites

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datacite.alternateIdentifier.citationPharmaceutics, 17 (1), 2025
datacite.alternateIdentifier.doi10.3390/pharmaceutics17010120
datacite.creatorZuniga, Paulo
datacite.creatorAravena, Marcelo
datacite.creatorPonce, Silvia
datacite.creatorHernandez-Montelongo, Jacobo
datacite.date2025
datacite.rightsAcceso abierto
datacite.subjectfinite element method
datacite.subjectdrug delivery
datacite.subjectcomposites
datacite.subjectnanocellulose
datacite.subjectnanoporous silicon
datacite.titleA Finite Element Method for Modeling Diffusion and Drug Release from Nanocellulose/Nanoporous Silicon Composites
dc.contributor.authorZUÑIGA OYARZO, PAULO ANDRES
dc.contributor.authorHERNANDEZ MONTELONGO, JESUS JACOBO
dc.date.accessioned2025-10-06T14:22:02Z
dc.date.available2025-10-06T14:22:02Z
dc.description.abstractBackground and Objective: A previous study investigated the in vitro release of methylene blue (MB), a widely used cationic dye in biomedical applications, from nanocellulose/nanoporous silicon (NC/nPSi) composites under conditions simulating body fluids. The results showed that MB release rates varied significantly with the nPSi concentration in the composite, highlighting its potential for controlled drug delivery. To further analyze the relationship between diffusion dynamics and the MB concentration, this study developed a finite element (FE) method to solve Fick's equations governing the drug delivery system. Methods: Release profiles of MB from NC/nPSi composites with varying nPSi concentrations (0%, 0.1%, 0.5%, and 1.0%) were experimentally measured in triplicate using phosphate-buffered saline (PBS) at 37 degrees C, pH 7.4, and 100 rpm. Mathematical models incorporating linear and quadratic dependencies of the diffusion coefficient on the MB concentration were developed and tested using the FE method. Model parameters were refined by minimizing the error between simulated and experimental MB release profiles. Results: The proposed FE method closely matched experimental data, validating its accuracy and robustness in simulating the diffusion and release processes. Conclusions: This study emphasizes the significant impact of the nPSi concentration on enhancing release control and highlights the importance of material composition in designing drug delivery systems. The findings suggest that the FE method can be effectively applied to model other complex systems, paving the way for advancements in precision drug delivery and broader biomedical applications.
dc.description.ia_keywordrelease, npsi, drug, method, concentration, delivery, diffusion
dc.formatPDF
dc.identifier.issn1999-4923
dc.identifier.urihttps://repositoriodigital.uct.cl/handle/10925/6913
dc.language.isoen
dc.publisherMultidisciplinary Digital Publishing Institute (MDPI)
dc.relationinstname: ANID
dc.relationreponame: Repositorio Digital RI2.0
dc.rights.driverinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/cl/
dc.sourcePharmaceutics
dc.subject.ia_oecd1nIngeniería y Tecnología
dc.subject.ia_oecd2nMateriales
dc.subject.ia_oecd3nCiencia de los Materiales
dc.type.driverinfo:eu-repo/semantics/article
dc.type.driverhttp://purl.org/coar/resource_type/c_2df8fbb1
dc.type.openaireinfo:eu-repo/semantics/publishedVersion
dspace.entity.typePublication
oaire.citationEdition2025
oaire.citationIssue1
oaire.citationTitlePharmaceutics
oaire.citationVolume17
oaire.fundingReferenceANID FONDECYT 11180395, 1230553 (Regular)
oaire.licenseConditionObra bajo licencia Creative Commons Atribución 4.0 Internacional
oaire.licenseCondition.urihttps://creativecommons.org/licenses/by/4.0/
oaire.resourceTypeArtículo
oaire.resourceType.enArticle
relation.isAuthorOfPublicationb4c3cc35-c96e-4d5e-ad28-0119da3e5ced
relation.isAuthorOfPublicationd1ebb975-fdac-4b8f-9131-a735b8c04d80
relation.isAuthorOfPublication.latestForDiscoveryb4c3cc35-c96e-4d5e-ad28-0119da3e5ced
uct.catalogadorjvu
uct.comunidadIngenieríaen_US
uct.departamentoDepartamento de Ciencias Matemáticas y Físicas
uct.facultadFacultad de Ingeniería
uct.indizacionScience Citation Index Expanded - SCIE
uct.indizacionScopus
uct.indizacionPubMed Central (PMC)
uct.indizacionEmbase
uct.indizacionChemical Abstracts Service (CAS)
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