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Mechanistic modelling of drug release from a polymer matrix using magnetic resonance microimaging.

Kaunisto, Erik LU ; Tajarobi, Farhad; Abrahmsen-Alami, Susanna; Larsson, Anette; Nilsson, Bernt LU and Axelsson, Anders LU (2013) In European Journal of Pharmaceutical Sciences 48(4-5). p.698-708
Abstract
In this paper a new model describing drug release from a polymer matrix tablet is presented. The utilization of the model is described as a two step process where, initially, polymer parameters are obtained from a previously published pure polymer dissolution model. The results are then combined with drug parameters obtained from literature data in the new model to predict solvent and drug concentration profiles and polymer and drug release profiles. The modelling approach was applied to the case of a HPMC matrix highly loaded with mannitol (model drug). The results showed that the drug release rate can be successfully predicted, using the suggested modelling approach. However, the model was not able to accurately predict the polymer... (More)
In this paper a new model describing drug release from a polymer matrix tablet is presented. The utilization of the model is described as a two step process where, initially, polymer parameters are obtained from a previously published pure polymer dissolution model. The results are then combined with drug parameters obtained from literature data in the new model to predict solvent and drug concentration profiles and polymer and drug release profiles. The modelling approach was applied to the case of a HPMC matrix highly loaded with mannitol (model drug). The results showed that the drug release rate can be successfully predicted, using the suggested modelling approach. However, the model was not able to accurately predict the polymer release profile, possibly due to the sparse amount of usable pure polymer dissolution data. In addition to the case study, a sensitivity analysis of model parameters relevant to drug release was performed. The analysis revealed important information that can be useful in the drug formulation process. (Less)
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
European Journal of Pharmaceutical Sciences
volume
48
issue
4-5
pages
698 - 708
publisher
Elsevier
external identifiers
  • wos:000317087300013
  • pmid:23298576
  • scopus:84873451299
ISSN
1879-0720
DOI
10.1016/j.ejps.2012.12.030
language
English
LU publication?
yes
id
40ae278f-1b07-4a45-adb2-be42e72c0bc2 (old id 3438931)
date added to LUP
2013-02-06 09:49:29
date last changed
2019-01-27 03:17:51
@article{40ae278f-1b07-4a45-adb2-be42e72c0bc2,
  abstract     = {In this paper a new model describing drug release from a polymer matrix tablet is presented. The utilization of the model is described as a two step process where, initially, polymer parameters are obtained from a previously published pure polymer dissolution model. The results are then combined with drug parameters obtained from literature data in the new model to predict solvent and drug concentration profiles and polymer and drug release profiles. The modelling approach was applied to the case of a HPMC matrix highly loaded with mannitol (model drug). The results showed that the drug release rate can be successfully predicted, using the suggested modelling approach. However, the model was not able to accurately predict the polymer release profile, possibly due to the sparse amount of usable pure polymer dissolution data. In addition to the case study, a sensitivity analysis of model parameters relevant to drug release was performed. The analysis revealed important information that can be useful in the drug formulation process.},
  author       = {Kaunisto, Erik and Tajarobi, Farhad and Abrahmsen-Alami, Susanna and Larsson, Anette and Nilsson, Bernt and Axelsson, Anders},
  issn         = {1879-0720},
  language     = {eng},
  number       = {4-5},
  pages        = {698--708},
  publisher    = {Elsevier},
  series       = {European Journal of Pharmaceutical Sciences},
  title        = {Mechanistic modelling of drug release from a polymer matrix using magnetic resonance microimaging.},
  url          = {http://dx.doi.org/10.1016/j.ejps.2012.12.030},
  volume       = {48},
  year         = {2013},
}