METTLER TOLEDO FBRM® provides an information-rich method for tracking the rate and degree of change to the number and dimension of particles or droplets as they actually exist in your process. In any given particle system, there are specific, and possibly unique, changes that are of critical importance to the user. In this three part webinar series, we explore how you can maximize data analysis. Part I - Mechanisms of Particle Change |  Click to see a preview |
Part II - Correlating FBRM® Directly to Process Efficiency and Product Quality
How can FBRM® be correlated to predict downstream process efficiency or product quality? How can FBRM® be correlated to offline particle measurement such as laser diffraction, sieving, or microscopy? This webinar provides examples of direct correlations between:
- FBRM® data and process efficiency such as filtration, flow properties, or dissolution rates
- FBRM® data and product quality such as bulk density, stability, color, and particle size
In addition, the relationship between FBRM®, laser diffraction, the sieve, and image analysis will also be explored. Caveats correlation as well as successful correlations and case studies are discussed.
Part III - Overcoming Pitfalls to FBRM® Data Interpretation
How do changes in the particle system physics affect FBRM data? The FBRM measurement principle has inherent sensitivity which can affect results in ways unexpected by chemists and engineers. Understanding these particle system properties can significantly increase success with FBRM data. This webinar will discuss specific case studies to maximize FBRM data analysis:
Webinar Series Presenter
Your online presenter for this webinar series is Eric Dycus. Eric is a Technology and Applications Consultant for the METTLER TOLEDO particle system characterization product line.