Chromatographic and spectral analytics are an essential part of process development, providing insight into the composition and structure of value-adding materials. Understanding how the shape of a spectra changes with experimental conditions is challenging due to the complexity and noise from the data, often leading to over-simplification of the peak analysis, summarizing the data by peak height, separation, or retention. These summaries reduce potential insights that can be gained from spectral data.
In this 30-minute on-demand webinar, we explore the process of cleaning and modeling spectral data and demonstrate how you can move toward a greater understanding of your curve’s shapes.
Learn how to:
If you are a scientist or engineer collecting spectral, chromatographic, or similar data and want to gain deeper insight into trends and outcomes, you won’t want to miss this webinar.
Ben Barroso-Ingham is a Sr Associate Systems Engineer at JMP. Previously he has held roles as Fermentation/Upstream Scientists at Elanco Animal Health and Allergan Biologics, focusing on developing small-scale microbial fermentation models and the application of design of experiments.
He has completed his Ph.D. programme in Chemical Engineering at The University of Manchester where he focused on the use of DoE in fermentation optimization and analytical method development.