NOV 18, 2015 8:00 AM PST

Drug Delivery Nanoparticles, Illuminated: the Light Scattering Toolkit

Sponsored by: Wyatt, Wyatt
Speaker

Abstract
Nanoparticle drug delivery systems (nanoDDS) are among the most promising avenues for effective treatment of many disorders, accomplished by the targeted release of chemotherapeutics, peptides, siRNA or genetic material. Some of the key analytical challenges faced by nanoDDS researchers and drug product developers include the determination of accurate, high-resolution size distributions; reliable and non-perturbative assessments of particle conformation, stability and payload; and rapid, effective formulation screens.

This webinar describes a suite of analytical techniques, all based on light scattering, that addresses many of these challenges. We review light scattering fundamentals, then present examples illustrating how Wyatt's unique light scattering instrumentation enhances productivity in the course of studying and developing nanoDDS including liposomes, VLPs, polymeric micelles, polymer-encapsulated therapeutics and nanogels.

Topics covered:
  • Basic physical characterization of polymers, proteins, oligonucleotides and nanoparticles used in nanoDDS: molar mass, size, conformation, conjugation and zeta potential, by light scattering
  • Automation of light scattering measurements for enhanced throughput
  • Rapid, low-resolution size distributions for quick quality assessments and formulation
  • High-resolution size distributions for in-depth characterization including conformation and drug loading
  • Size-based separations plus on-line light scattering to quantify encapsulated / free payload
  • Kinetics of encapsulation/self-assembly reactions or induced degradation and release
Who should attend:
  • nanoDDS researchers in need of more effective and reliable analytical tools
  • developers of nanoDDS products including formulators and process developers
  • managers of analytical labs or core facilities looking for technology to address upcoming nanoparticle characterization needs

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