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Biomedical subjects

Luwei Zhao

Publications and source records attributed to Luwei Zhao.

3 recordsLinked to original sources

Solubilization of flurbiprofen in pH-surfactant solutions.

Based on an investigation on furbiprofen solubilization in polysorbate 80 solutions at different pH, this study proposed an equilibrium-based model to characterize the drug-surfactant interactions in pH controlled system. The model reflected both interactions and interdependence among all drug-containing species: unionized drug in water D(u), ionized drug in water D(i), unionized drug in micelles D(u)M, and ionized drug in micelles D(i)M. The micelles were defined and quantitated as the micellized surfactants, so both D(u)M and D(i)M were also seen as unionized and ionized drug associated with micellized surfactants. This mathematical treatment enables the modeling of the drug solubilization in pH-surfactant solutions without making unsound approximations. Using a separate set of solubility data at a different pH, a comparison was conducted between experimental data and the solubility estimated by this model, and by the partition model proposed by Rippie et al. It was found that both models yielded reasonably good estimation compared with experimental data. It was also found that the solubility data estimated by the proposed model were more reliable especially when the surfactant concentration was high in the system. This suggests that the consideration of interrelations and interdependence of all drug species in pH-surfactant solutions by this model is justified and appropriate.

Chemistry, Pharmaceutical↗

Cosolubilization of non-polar drugs in polysorbate 80 solutions.

This study investigated the cosolubilization phenomenon of three non-polar drugs (hydrocortisone, beta-estradiol, and ethynylestradiol) in polysorbate 80 solutions. It was found that the solubility of any drug decreased in the presence of other steroidal compounds. In an attempt to understand the observation, the author proposed a model to describe and to predict the drug solubility in the presence of other non-polar drugs in a non-ionic surfactant. The model indicates that, in a non-ionic surfactant solution that contains both drugs D(a) and D(b), the total solubility [D(a)(tot)] is related not only to the physical chemical properties of D(a) (micellar equilibrium constant K(a), the intrinsic solubility [D(a)]), as well as the total surfactant concentration [S(tot)], it is also related to the physical chemical properties of the D(b). Mathematically, the [D(a)(tot)] decreases as the product of the micellar equilibrium constant K(b) and the intrinsic solubility [D(b)] increases. The model was also put to the test by comparing the cosolubilization data obtained experimentally with the data calculated from the proposed model. The fact that these two sets of data were in good agreement lent strong support to the newly proposed model.

Pharmaceutical Preparations↗

Predicting solubility in multiple nonpolar drugs-cyclodextrin system.

This study presents a model to predict the solubility of a nonpolar drug D(A) in the presence of other nonpolar drugs D(1) em leader D(n) in a complexing ligand L system such as hydroxypropyl-beta-cyclodextrin (HPbetaCD). Using an equilibrium approach, the model describes the molecular interactions among these drug species and the ligand. The model indicates that the solubility of D(A) invariably decreases as a result of the presence of D(1) em leader D(n). Furthermore, the decrease in D(A) solubility is related to the sum of the products of the intrinsic solubilities of the other drugs and drug-ligand complexation constants. To test the model, three steroids (prednisolone, 17alpha-hydroxyprogesterone, and progesterone) were used as model compounds in HPbetaCD solutions. The experimental data showed that the solubility of any particular drug decreased in the presence of other drugs. At all tested HPbetaCD concentrations, these experimental solubility data were in good agreement with the predicted solubility data. This result lends strong support to the reliability and effectiveness of the proposed model.

2-Hydroxypropyl-beta-cyclodextrin↗