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Advances in Analytical Techniques for Preformulation Support in Pharmaceutical R&D
Wednesday, November 14
2:00 pm – 4:30 pm
Symposium
ACPE #073-999-07-525-L04
Over the past few years, new analytical technologies have emerged to support preformulation development in pharmaceutical R&D. These technologies assist in areas as diverse as preformulation potency and stability assays, chiral purity assays of active moieties, chiral interconversion possibilities, evaluation of in-situ salt selection of research compounds, preformulation vehicle selection, and equilibrium and intrinsic solubility assays of target compounds in intended vehicles. The primary goals of these analytical technologies are to provide accurate results in a rapid turnaround time for transfer to the formulator and safety assessment or other relevant drug research areas. New developments in the area of supercritical fluid chromatography direct assay of pharmaceutical dosage forms and various hyphenated analytical techniques are being recently promoted/implemented/evaluated by pharmaceutical companies as highly efficient routine tools for preformulation assays. In addition, advances in techniques for characterization of solid dosage forms is leading to prediction of physical and chemical stability as a function of preparation and processing. This symposium will address the analytical techniques being developed as support for preformulation work with their application areas, advantages and limitations.
Moderators
Eric J. Munson, Ph.D.
University of Kansas
Partha Mukherjee, Ph.D.
AstraZeneca Pharmaceuticals LP
Direct Assay of Aqueous Formulations of Pharmaceutical Drug Candidates Using SFC
Partha Mukherjee, Ph.D.
AstraZeneca Pharmaceuticals LP
New Approaches to Characterization of Drug Candidates by Solid-State NMR
Ales Medek
Pfizer, Inc.
Multidimensional Separation to Support Parenteral Drug Development
Yining Zhao, Ph.D.
Pfizer, Inc.
Advances in X-ray Powder Diffraction Analysis of Both Crystalline and Non-Crystalline Organic Systems
Simon Bates, Ph.D.
SSCI