The solubility of orally administered drugs is highly influenced by the composition of the intestinal fluids, the presence of fatty acids and cholesterol, and the pH. All these factors can be affected by the individual’s diet, an impact called the food effect. Typical biorelevant studies, however, fail to capture food effects because the experiments are commonly performed on fixed simulated intestinal fluid compositions. Consequently, accurate prediction of the food effect observed in clinical studies is hindered due to lack of reliable data for a range of dietary factors.
Join this webinar to learn about a high-throughput automated workflow study API solubility in complex, ad hoc biorelevant media that simulate various compositions of intestinal fluids. We will show how to use the data from this workflow in a Physiologically Based Biopharmaceutic Model that predicts the food effect on a BCS IV zwitterionic drug. The automated workflow led to considerable time and material savings, while the model accurately predicted the results of the food effect.
Key Learning Objectives:
- Determination of food effect, through use of complex biorelevant media, to describe and predict clinical data
- Automated preparation of ad hoc complex biorelevant media
- Automated in vitro biorelevant solubility screen of an API
- Integration of in vitro solubility and permeability into a Physiologically Based Biopharmaceutic Model (PBBM)
Who Should Attend:
- Scientist, Sr. Scientist, Development Chemist, Formulation Chemist, Process Chemist, (Directors of preceding), Research Fellow, Professor
- Product Development Scientists, Biochemist