Mathematical modelling of drug transport in emulsion systems

Citation
Ka. Yoon et Dj. Burgess, Mathematical modelling of drug transport in emulsion systems, J PHARM PHA, 50(6), 1998, pp. 601-610
Citations number
11
Categorie Soggetti
Pharmacology & Toxicology
Journal title
JOURNAL OF PHARMACY AND PHARMACOLOGY
ISSN journal
00223573 → ACNP
Volume
50
Issue
6
Year of publication
1998
Pages
601 - 610
Database
ISI
SICI code
0022-3573(199806)50:6<601:MMODTI>2.0.ZU;2-B
Abstract
Two mathematical models for the prediction of drug transport in triphasic ( oil, water and micellar) emulsion systems as a function of micellar concent ration have been developed and these models were evaluated by comparing exp erimental and simulated data. Fick's first law was used to derive a transpo rt model for hydrophilic drugs, assuming that the oil/water (o/w) partition ing process was fast compared with membrane transport and therefore drug tr ansport was limited by the membrane. Consequetive rate equations were used to model transport of hydrophobic drugs in emulsion systems assuming that t he o/w interface acts as a barrier to drug transport. Benzoic acid and phenol were selected as hydrophilic model drugs. Phenylazo aniline and benzocaine were selected as hydrophobic model drugs. Transport studies at pH 3.0 and 7.0 were conducted using side-by-side diffusion cells . According to the hydrophilic model, an increase in micellar concentration is expected to decrease drug transport rates. The effective permeability c oefficients (P-eff) of drugs were calculated using an equation relating P-e ff and the total apparent volume of drug distribution (determined experimen tally using drug/membrane permeability and partition coefficient values). T he hydrophobic model was fitted to the experimental data for the cumulative amount of model drug in the receiver cells using a weighted least-squares estimation program (PCNONLIN). The oil/continuous phase partitioning rates (k(1)) and the membrane transport rates (k(2)) were estimated. The goodness of fit was assessed from the correlation coefficients of plots of predicted versus experimental data. The predicted data were consistent with the experimental data for both the hydrophilic and hydrophobic models.