TY - JOUR
T1 - The development of a peak-time criterion for designing controlled-release devices
AU - Simon, Laurent
AU - Ospina, Juan
N1 - Publisher Copyright:
© 2016 Elsevier B.V.
PY - 2016/8/25
Y1 - 2016/8/25
N2 - This work consists of estimating dynamic characteristics for topically-applied drugs when the magnitude of the flux increases to a maximum value, called peak flux, before declining to zero. This situation is typical of controlled-released systems with a finite donor or vehicle volume. Laplace transforms were applied to the governing equations and resulted in an expression for the flux in terms of the physical characteristics of the system. After approximating this function by a second-order model, three parameters of this reduced structure captured the essential features of the original process. Closed-form relationships were then developed for the peak flux and time-to-peak based on the empirical representation. Three case studies that involve mechanisms, such as diffusion, partitioning, dissolution and elimination, were selected to illustrate the procedure. The technique performed successfully as shown by the ability of the second-order flux to match the prediction of the original transport equations. A main advantage of the proposed method is that it does not require a solution of the original partial differential equations. Less accurate results were noted for longer lag times.
AB - This work consists of estimating dynamic characteristics for topically-applied drugs when the magnitude of the flux increases to a maximum value, called peak flux, before declining to zero. This situation is typical of controlled-released systems with a finite donor or vehicle volume. Laplace transforms were applied to the governing equations and resulted in an expression for the flux in terms of the physical characteristics of the system. After approximating this function by a second-order model, three parameters of this reduced structure captured the essential features of the original process. Closed-form relationships were then developed for the peak flux and time-to-peak based on the empirical representation. Three case studies that involve mechanisms, such as diffusion, partitioning, dissolution and elimination, were selected to illustrate the procedure. The technique performed successfully as shown by the ability of the second-order flux to match the prediction of the original transport equations. A main advantage of the proposed method is that it does not require a solution of the original partial differential equations. Less accurate results were noted for longer lag times.
KW - Controlled release
KW - Diffusion
KW - Mathematical models
KW - Peak time
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U2 - 10.1016/j.ejps.2016.05.028
DO - 10.1016/j.ejps.2016.05.028
M3 - Article
C2 - 27260085
AN - SCOPUS:84973547642
SN - 0928-0987
VL - 91
SP - 64
EP - 73
JO - European Journal of Pharmaceutical Sciences
JF - European Journal of Pharmaceutical Sciences
ER -