A multivariate strategy for tablet manufacturing optimization

The objective of this work was to develop a multivariate strategy to optimize tablet manufacturing employing mephenesin as model drug. The process variables for granulation step were binders and lubricants types, while the mixture variables included the proportions of binders and lubricants. To red...

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Detalles Bibliográficos
Autores principales: Fernández, Eutimio G., Fernández C., Mirna, Hoang, Hoang Min, Pérez Sánchez, Irela, Guerra, Dayneris, Izquierdo, Adalberto C., Valdes, Rodolfo, Ramos, Mena Cayetana
Formato: Articulo
Lenguaje:Inglés
Publicado: 2010
Materias:
Farmacia
crossed experimental design; mephenesin; multivariate strategy; principal component analysis; tablet manufacturing
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/8070
http://www.latamjpharm.org/resumenes/29/8/LAJOP_29_8_1_10.pdf
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-8070
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Farmacia
crossed experimental design; mephenesin; multivariate strategy; principal component analysis; tablet manufacturing
spellingShingle Farmacia
crossed experimental design; mephenesin; multivariate strategy; principal component analysis; tablet manufacturing
Fernández, Eutimio G.
Fernández C., Mirna
Hoang, Hoang Min
Pérez Sánchez, Irela
Guerra, Dayneris
Izquierdo, Adalberto C.
Valdes, Rodolfo
Ramos, Mena Cayetana
A multivariate strategy for tablet manufacturing optimization
topic_facet Farmacia
crossed experimental design; mephenesin; multivariate strategy; principal component analysis; tablet manufacturing
description The objective of this work was to develop a multivariate strategy to optimize tablet manufacturing employing mephenesin as model drug. The process variables for granulation step were binders and lubricants types, while the mixture variables included the proportions of binders and lubricants. To reduce the experimentation and tablet characterization in the compression step, a principal component analysis was performed. Tabletting process was studied according to a three level factorial design. The factors were the scores in first principal component of granulation variables and hardness of the tablets. The properties of tablets were mainly influenced for the scores of granules. The optimum formulation, achieved using the desirability function, was the formulation with PVP K 90 as binder (4.25 %) and talc as lubricant (1.25 %). The multivariate strategy provides an effective tool for tablet manufacturing optimization when the high experimentation costs are prohibitive or the granulation process is influenced by many factors.
format Articulo
Articulo
author Fernández, Eutimio G.
Fernández C., Mirna
Hoang, Hoang Min
Pérez Sánchez, Irela
Guerra, Dayneris
Izquierdo, Adalberto C.
Valdes, Rodolfo
Ramos, Mena Cayetana
author_facet Fernández, Eutimio G.
Fernández C., Mirna
Hoang, Hoang Min
Pérez Sánchez, Irela
Guerra, Dayneris
Izquierdo, Adalberto C.
Valdes, Rodolfo
Ramos, Mena Cayetana
author_sort Fernández, Eutimio G.
title A multivariate strategy for tablet manufacturing optimization
title_short A multivariate strategy for tablet manufacturing optimization
title_full A multivariate strategy for tablet manufacturing optimization
title_fullStr A multivariate strategy for tablet manufacturing optimization
title_full_unstemmed A multivariate strategy for tablet manufacturing optimization
title_sort multivariate strategy for tablet manufacturing optimization
publishDate 2010
url http://sedici.unlp.edu.ar/handle/10915/8070
http://www.latamjpharm.org/resumenes/29/8/LAJOP_29_8_1_10.pdf
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