High-resolution particle size & concentration with Zetasizer Advance

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Join us for an introduction to Multi-Angle Dynamic Light Scattering (MADLS) and its capabilities in particle characterization using the Zetasizer Advance Ultra. We’ll show how MADLS builds on traditional dynamic light scattering (DLS) by combining data from multiple scattering angles to deliver high-resolution, angle-independent particle size distributions, providing a more accurate analysis of multi-component samples.

Building on this foundation, cover how MADLS can be extended to provide particle concentration measurements by leveraging photon count-rate data and Mie theory to quantify particle populations across size classes. This capability is especially valuable for applications involving biologics, nanoparticles, and virus-like particles, where precise concentration data is critical.

The session will cover:

  • The theory behind MADLS and particle concentration measurements
  • A demonstration of setting up MADLS and particle concentration workflows in the ZS Xplorer software
  • Examples of good and poor measurements – and how to improve them
  • Whether you're new to light scattering or looking to expand your analytical toolkit, this webinar will provide practical insights and expert guidance to help you get the most from your Zetasizer Advance system.

Speakers

  • Dr. Hannah Buckland - Applications Specialist - Physical Characterization, Malvern Panalytical

More information

Who should attend? 

  • Scientists and engineers working with biologics, nanoparticles, or virus-like particles (VLP) who need high-resolution sizing and particle concentration 
  • Newcomers to DLS and existing users of Zetasizer Advance Ultra

What will you learn? 

  • Understand what MADLS is, how it works, and when to use it
  • How to interpret particle size distributions for multi-component samples
  • How to configure MADLS and particle concentration workflows in ZS Xplorer
  • How to quantify particle concentration from count-rate data using Mie theory
  • How to evaluate data quality: identify good vs poor measurements and apply practical fixes.
  • Learn how to map these methods to typical applications in biologics, nanoparticles, and VLPs