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Original Research Article | OPEN ACCESS

Modelling of drug release from ensembles of aspirin microcapsules of certain particle size distribution

Florence E Eichie , Roland S Okor

Department of Pharmaceutics, Faculty of Pharmacy, University of Benin, Benin City, Nigeria;

For correspondence:-  Florence Eichie   Email: eichie@uniben.edu

Published: 20 June 2003

Citation: Eichie FE, Okor RS. Modelling of drug release from ensembles of aspirin microcapsules of certain particle size distribution. Trop J Pharm Res 2003; 2(1):137-145 doi: 10.4314/tjpr.v2i1.3

© 2003 The authors.
This is an Open Access article that uses a funding model which does not charge readers or their institutions for access and distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0) and the Budapest Open Access Initiative (http://www.budapestopenaccessinitiative.org/read), which permit unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited..

Abstract

Purpose:  In order  to determine  the drug  release profile of  an ensemble of  aspirin crystals  or microcapsules  from  its  particle distribution a  mathematical  model  that  considered  the individual  release  characteristics  of the  component  single particles  was  developed.  The model  assumed  that  under  sink conditions  the  release  from  individual  (component)  particles would be independent of each other and hence simply additive.
Method:  The  release parameters,  mt =  the amount  of  drug  released  in  time  t,  m¥ =  the maximum  release and  t ¥ =  the  time  to attain  it  were determined  for  each  single particle by simulation using previously  derived  mathematical  models.    To obtain  the  cumulative  release curve  for  the ensemble  the  individual  releases  were  summed up  at  each  time  scale and  for the  various  time  intervals.  Values  of  m¥ and  t ¥ for  the ensemble  were obtained  from  the simulated  cumulative  curves.  The  release profiles  of the ensembles  were also determined experimentally and their m¥ and t ¥ values deduced from the release curves.
Results:  The observed  cumulative  curves  of the ensembles compared  favourably  with  the simulated data.  The  % difference  in the observed and the simulated m¥ and t ¥  values  of the ensembles was within ± 20%, which indicated that the modelling was valid.
Conclusion:  The  study showed  that the  release profile of  an ensemble  can be determined from its particle distribution which has application in controlled release studies.

Keywords: Aspirin microcapsules, drug release simulation, multiparticulate systems

Impact Factor
Thompson Reuters (ISI): 0.523 (2021)
H-5 index (Google Scholar): 39 (2021)

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