Permeability Measurement with Double-Sink PAMPA Using SpectraMax Microplate Readers
Wednesday, February 03, 2010 10:00am - 11:00amThe recording for Permeability Measurement with Double-Sink PAMPA Using SpectraMax Microplate Readers is available now.
NOTE: The recording is a downloadable file that may take several hours. If you would rather not download the file, please contact Yvonne.Fitzgerald@moldev.com to get a copy of the recording.
Webinar presenters
Cathy Olsen, Ph.D., Application Scientist, MDS Analytical Technologies (US) Inc
Yvonne Beirne FitzGerald, Field Application Scientist, MDS Analytical Technologies
Dana C. Lipp, Product Specialist, pION INC
Double-Sink PAMPA is highly correlated with the permeability of drugs through Caco-2 cells (passive), human jejunum (GIT) and the blood brain barrier (BBB). With this microplate-based method that is performed using SpectraMax® plate readers, drugs can be evaluated and screened much earlier in development, thus saving resources for only the most promising candidates. The other, more costly screens can be employed later in the process when they are most cost effective.
In this webinar, we will present early PAMPA models and the advantages of more recent biomimetic models. You will learn about the important properties of drug adsorption of which permeability is one important aspect, and how the permeability of your compound should be consistent with other physicochemical properties. We will discuss the advantages of using SpectraMax® microplate readers to generate accurate data. The presentation will cover important considerations in permeability measurement and interpreting results to effectively focus scarce resources.
Topics to be covered include:
- Generating data with SpectraMax plate readers
- Importance of pH in drug absorption
- Early models: black lipid membrane
- GIT and BBB biomimetic considerations
- What is the ABL and why should I care?
- Low solubility compounds: a special case
- Correlation with Caco-2, GIT and BBB
- Application of permeability data vs BCS
- Developing new models


