Laser diffraction is a powerful particle sizing technique that can provide users with a large amount of information related to their samples. However, there are several important aspects of the process that must be given the upmost attention, particularly before presenting the results in a written piece of work!

In this session we will consider the necessary steps to ensure optimal data quality, followed by the analysis of data, including the use of optical properties, and understanding the particle size distribution. This will be complimented with a look at tips on method development for wet and dry measurements, followed by a Q+A session.

Don’t forget to bring your questions or submit them by emailing askanexpert@malvernpanalytical.com or using the #MPexpert hashtag on Twitter. Questions and data can be submitted up to 10 days upfront.

More information

This webinar is part of our ‘Ask an expert’ webinar series. These live webinars are meant for students, researchers, and professors alike who want to sharpen their analytical methods, deepen their knowledge, or find out how to improve their data. We’ll provide extensive materials analysis information and answer your most frequently asked questions. In other words, it’s the ultimate way to improve your materials science research and engineering knowledge.

Free to attend any of the classes.

Summary

Measurement type:
Particle size
Date:
June 03 2021 - June 03 2021
Time:
10:30 - 11:30
Eastern Time [US & Canada]
Event type:
Webinar - Live
Language:
English
Products:
Mastersizer 3000
Technology:
Light Scattering
Industry:
Academia

Speakers

  • Steve Ward-Smith Ph.D. - Particle Characterization Expert 
  • John Ddungu - Laser Diffraction Expert

More information

Who should attend?

  • Anyone who is new to, or currently working with laser diffraction. Students, researchers or professors, interested in improving their materials science research and engineering knowledge with this analytical solution.

What will you learn?

  • Know which steps to take to ensure optimal data quality
  • Learn how to get the best out of your data
  • Get tips on method development for wet and dry measurements.