Prof. Dr. Gabriele Sadowski
Small molecule pharmaceutics and complex liquid systems
Projects
Liquid-Liquid Equilibria in Aqueous Oil/Surfactant Solutions
Oil in water emulsions can effectively be used as delivery systems for poorly water soluble drugs. These emulsions are stabilized by surfactants. This project develops a suitable modeling approach for those systems utilizing an aggregation model and PC-SAFT. This will serve as a predictive method capable of describing the complex liquid-liquid phase equilibria in aqueous oil/surfactant solutions.
Influence of coating materials on ASD stability
Many active pharmaceutical ingredients (APIs) suffer from low aqueous solubility, limiting their bioavailability. Bioavailability can be improved by dissolving the API in a polymer, yielding so-called amorphous solid dispersions (ASDs). This project aims at investigating the influence of coating materials, temperature and relative humidity (RH) on the stability of coated ASDs during storage.
Using Polymer Salts as Excipients in Amorphous Solid Dispersions
The bioavailability of active pharmaceutical ingredients (API) is often limited by their low aqueous solubility. The API bioavailability can be improved by dissolving the API in a polymer matrix leading to so-called amorphous solid dispersions (ASDs). This project investigates ASDs using polymer salts as matrix formers. It is performed in close cooperation with the group of Lynne Taylor from Purdue University.
Thermodynamics of self-emulsifying systems
Lipid-based formulations have emerged as promising drug delivery systems to enhance the bioavailability of poorly water-soluble drugs. Upon oral administration, these drug delivery systems spontaneously form emulsions in the gastrointestinal tract, stabilized by surfactants. This project aims to extend existing modelling approaches for surfactant systems, combining a model for the formation of mixed aggregates with PC-SAFT, to enable the prediction of drug solubilization in self-emulsifying drug-delivery systems. This project is funded by RESOLV.