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
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/212070
Ver los metadatos del registro completo
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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 Técnicas2025-09-29T09:51:16Zoai: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:34982025-09-29 09:51:16.204CONICET 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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1844613576790114304 |
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13.070432 |