The publications of the members of the research group.
2011
Miguel Manzano; Gaetano Lamberti; Ivan Galdi; Marîa Vallet-Regî
Anti-Osteoporotic Drug Release from Ordered Mesoporous Bioceramics: Experiments and Modeling Journal Article
In: AAPS PharmSciTech, vol. 12, no. 4, pp. 1193–1199, 2011, ISSN: 1530-9932.
Abstract | Links | BibTeX | Tags: drug delivery, Modeling, ordered mesoporous matrices
@article{Manzano2011,
title = {Anti-Osteoporotic Drug Release from Ordered Mesoporous Bioceramics: Experiments and Modeling},
author = { Miguel Manzano and Gaetano Lamberti and Ivan Galdi and Mar\^{i}a Vallet-Reg\^{i}},
url = {http://www.springerlink.com/index/10.1208/s12249-011-9688-9},
doi = {10.1208/s12249-011-9688-9},
issn = {1530-9932},
year = {2011},
date = {2011-12-01},
journal = {AAPS PharmSciTech},
volume = {12},
number = {4},
pages = {1193--1199},
publisher = {Springer US},
abstract = {The release of a potent bone-resorption inhibitor such as zoledronate from a versatile drug delivery system such as SBA 15 has been modeled. The initial and boundary conditions have been defined, together with the system parameters, including the determination of equilibrium and transport parameters. Additionally, the experimental model of the same system has been observed to validate the prediction here developed. This approach represents a powerful tool for the designing of mesoporous implantable drug delivery systems because their release kinetics can be predicted in advance, and this leads to a considerable time and resources saving.},
keywords = {drug delivery, Modeling, ordered mesoporous matrices},
pubstate = {published},
tppubtype = {article}
}
The release of a potent bone-resorption inhibitor such as zoledronate from a versatile drug delivery system such as SBA 15 has been modeled. The initial and boundary conditions have been defined, together with the system parameters, including the determination of equilibrium and transport parameters. Additionally, the experimental model of the same system has been observed to validate the prediction here developed. This approach represents a powerful tool for the designing of mesoporous implantable drug delivery systems because their release kinetics can be predicted in advance, and this leads to a considerable time and resources saving.