In silico study on the effects of matrix structure in controlled drug release

Autores
Villalobos, Rafael; Cordero, Salomón; Vidales, Ana Maria; Domínguez, Armando
Año de publicación
2006
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Purpose: To study the effects of drug concentration and spatial distribution of the medicament, in porous solid dosage forms, on the kinetics and total yield of drug release. Methods: Cubic networks are used as models of drug release systems. They were constructed by means of the dual site-bond model framework, which allows a substrate to have adequate geometrical and topological distribution of its pore elements. Drug particles can move inside the networks by following a random walk model with excluded volume interactions between the particles. The drug release time evolution for different drug concentration and different initial drug spatial distribution has been monitored. Results: The numerical results show that in all the studied cases, drug release presents an anomalous behavior, and the consequences of the matrix structural properties, i.e., drug spatial distribution and drug concentration, on the drug release profile have been quantified. Conclusions: The Weibull function provides a simple connection between the model parameters and the microstructure of the drug release device. A critical modeling of drug release from matrix-type delivery systems is important in order to understand the transport mechanisms that are implicated, and to predict the effect of the device design parameters on the release rate.
Fil: Villalobos, Rafael. Universidad Autónoma Metropolitana; México
Fil: Cordero, Salomón. Universidad Autónoma Metropolitana; México
Fil: Vidales, Ana Maria. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Luis. Instituto de Física Aplicada "Dr. Jorge Andrés Zgrablich". Universidad Nacional de San Luis. Facultad de Ciencias Físico Matemáticas y Naturales. Instituto de Física Aplicada "Dr. Jorge Andrés Zgrablich"; Argentina
Fil: Domínguez, Armando. Universidad Autónoma Metropolitana; México
Materia
DRUG RELEASE
DUAL SITE-BOND MODEL
INERT MATRIX
MONTE CARLO SIMULATION
WEIBULL EQUATION
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/212070
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/212070
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling In silico study on the effects of matrix structure in controlled drug releaseVillalobos, RafaelCordero, SalomónVidales, Ana MariaDomínguez, ArmandoDRUG RELEASEDUAL SITE-BOND MODELINERT MATRIXMONTE CARLO SIMULATIONWEIBULL EQUATIONhttps://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1Purpose: To study the effects of drug concentration and spatial distribution of the medicament, in porous solid dosage forms, on the kinetics and total yield of drug release. Methods: Cubic networks are used as models of drug release systems. They were constructed by means of the dual site-bond model framework, which allows a substrate to have adequate geometrical and topological distribution of its pore elements. Drug particles can move inside the networks by following a random walk model with excluded volume interactions between the particles. The drug release time evolution for different drug concentration and different initial drug spatial distribution has been monitored. Results: The numerical results show that in all the studied cases, drug release presents an anomalous behavior, and the consequences of the matrix structural properties, i.e., drug spatial distribution and drug concentration, on the drug release profile have been quantified. Conclusions: The Weibull function provides a simple connection between the model parameters and the microstructure of the drug release device. A critical modeling of drug release from matrix-type delivery systems is important in order to understand the transport mechanisms that are implicated, and to predict the effect of the device design parameters on the release rate.Fil: Villalobos, Rafael. Universidad Autónoma Metropolitana; MéxicoFil: Cordero, Salomón. Universidad Autónoma Metropolitana; MéxicoFil: Vidales, Ana Maria. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Luis. Instituto de Física Aplicada "Dr. Jorge Andrés Zgrablich". Universidad Nacional de San Luis. Facultad de Ciencias Físico Matemáticas y Naturales. Instituto de Física Aplicada "Dr. Jorge Andrés Zgrablich"; ArgentinaFil: Domínguez, Armando. Universidad Autónoma Metropolitana; MéxicoElsevier Science2006-07info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/212070Villalobos, Rafael; Cordero, Salomón; Vidales, Ana Maria; Domínguez, Armando; In silico study on the effects of matrix structure in controlled drug release; Elsevier Science; Physica A: Statistical Mechanics and its Applications; 367; 7-2006; 305-3180378-4371CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0378437105011957info:eu-repo/semantics/altIdentifier/doi/10.1016/j.physa.2005.11.009info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-22T11:20:35Zoai:ri.conicet.gov.ar:11336/212070instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-22 11:20:35.982CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv In silico study on the effects of matrix structure in controlled drug release
title In silico study on the effects of matrix structure in controlled drug release
spellingShingle In silico study on the effects of matrix structure in controlled drug release
Villalobos, Rafael
DRUG RELEASE
DUAL SITE-BOND MODEL
INERT MATRIX
MONTE CARLO SIMULATION
WEIBULL EQUATION
title_short In silico study on the effects of matrix structure in controlled drug release
title_full In silico study on the effects of matrix structure in controlled drug release
title_fullStr In silico study on the effects of matrix structure in controlled drug release
title_full_unstemmed In silico study on the effects of matrix structure in controlled drug release
title_sort In silico study on the effects of matrix structure in controlled drug release
dc.creator.none.fl_str_mv Villalobos, Rafael
Cordero, Salomón
Vidales, Ana Maria
Domínguez, Armando
author Villalobos, Rafael
author_facet Villalobos, Rafael
Cordero, Salomón
Vidales, Ana Maria
Domínguez, Armando
author_role author
author2 Cordero, Salomón
Vidales, Ana Maria
Domínguez, Armando
author2_role author
author
author
dc.subject.none.fl_str_mv DRUG RELEASE
DUAL SITE-BOND MODEL
INERT MATRIX
MONTE CARLO SIMULATION
WEIBULL EQUATION
topic DRUG RELEASE
DUAL SITE-BOND MODEL
INERT MATRIX
MONTE CARLO SIMULATION
WEIBULL EQUATION
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.3
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Purpose: To study the effects of drug concentration and spatial distribution of the medicament, in porous solid dosage forms, on the kinetics and total yield of drug release. Methods: Cubic networks are used as models of drug release systems. They were constructed by means of the dual site-bond model framework, which allows a substrate to have adequate geometrical and topological distribution of its pore elements. Drug particles can move inside the networks by following a random walk model with excluded volume interactions between the particles. The drug release time evolution for different drug concentration and different initial drug spatial distribution has been monitored. Results: The numerical results show that in all the studied cases, drug release presents an anomalous behavior, and the consequences of the matrix structural properties, i.e., drug spatial distribution and drug concentration, on the drug release profile have been quantified. Conclusions: The Weibull function provides a simple connection between the model parameters and the microstructure of the drug release device. A critical modeling of drug release from matrix-type delivery systems is important in order to understand the transport mechanisms that are implicated, and to predict the effect of the device design parameters on the release rate.
Fil: Villalobos, Rafael. Universidad Autónoma Metropolitana; México
Fil: Cordero, Salomón. Universidad Autónoma Metropolitana; México
Fil: Vidales, Ana Maria. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Luis. Instituto de Física Aplicada "Dr. Jorge Andrés Zgrablich". Universidad Nacional de San Luis. Facultad de Ciencias Físico Matemáticas y Naturales. Instituto de Física Aplicada "Dr. Jorge Andrés Zgrablich"; Argentina
Fil: Domínguez, Armando. Universidad Autónoma Metropolitana; México
description Purpose: To study the effects of drug concentration and spatial distribution of the medicament, in porous solid dosage forms, on the kinetics and total yield of drug release. Methods: Cubic networks are used as models of drug release systems. They were constructed by means of the dual site-bond model framework, which allows a substrate to have adequate geometrical and topological distribution of its pore elements. Drug particles can move inside the networks by following a random walk model with excluded volume interactions between the particles. The drug release time evolution for different drug concentration and different initial drug spatial distribution has been monitored. Results: The numerical results show that in all the studied cases, drug release presents an anomalous behavior, and the consequences of the matrix structural properties, i.e., drug spatial distribution and drug concentration, on the drug release profile have been quantified. Conclusions: The Weibull function provides a simple connection between the model parameters and the microstructure of the drug release device. A critical modeling of drug release from matrix-type delivery systems is important in order to understand the transport mechanisms that are implicated, and to predict the effect of the device design parameters on the release rate.
publishDate 2006
dc.date.none.fl_str_mv 2006-07
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/212070
Villalobos, Rafael; Cordero, Salomón; Vidales, Ana Maria; Domínguez, Armando; In silico study on the effects of matrix structure in controlled drug release; Elsevier Science; Physica A: Statistical Mechanics and its Applications; 367; 7-2006; 305-318
0378-4371
CONICET Digital
CONICET
url http://hdl.handle.net/11336/212070
identifier_str_mv Villalobos, Rafael; Cordero, Salomón; Vidales, Ana Maria; Domínguez, Armando; In silico study on the effects of matrix structure in controlled drug release; Elsevier Science; Physica A: Statistical Mechanics and its Applications; 367; 7-2006; 305-318
0378-4371
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0378437105011957
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.physa.2005.11.009
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier Science
publisher.none.fl_str_mv Elsevier Science
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 12.982451

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