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Introduction to KnowItAll for IR & Raman (Vibrational Spectroscopy)

RECORD | Already taken place Th, 22.2.2024
We will demonstrate how KnowItAll can help solve unknown IR and Raman spectra through a series of examples.
Go to the webinar
Wiley: Introduction to KnowItAll for IR & Raman (Vibrational Spectroscopy)
Wiley: Introduction to KnowItAll for IR & Raman (Vibrational Spectroscopy)

Comparing IR and Raman spectra to spectral libraries is one of the most widely used and successful methodologies in structural elucidation and the identification of unknowns. In this session we will introduce Wiley’s KnowItAll solutions and how they can help to accelerate your IR and Raman analyses.

Wiley’s KnowItAll software offers integrated solutions to identify, analyze, and manage analytical and chemical data. Combined with comprehensive high-quality spectral reference databases, it provides one of the most advanced technologies available for fast, reliable spectral analysis.

We will demonstrate how KnowItAll can help solve unknown IR and Raman spectra through a series of examples including:
  • Material identification
  • Mixture decomposition
  • Functional group analysis
This session is recommended for:
  • Scientists and chemists who use IR and/or Raman and are interested in learning more about KnowItAll’s capabilities.
  • Professors and students engaged in chemistry and vibrational spectroscopy courses or lab work.
About KnowItAll:

KnowItAll combines all the tools and spectral databases you need for effective analysis into a single, easy-to-use interface to make your lab its most efficient. Compatible with over 130 instrument formats, it streamlines your entire workflow regardless of how many techniques and instruments you use. Learn more at sciencesolutions.wiley.com

Presenter: Dr. Leanna Ergin

Dr. Leanna Ergin is an Assistant Editor for Wiley Science Solutions, for which she helps create tools for spectroscopy, structural, and scientific standard reference data and helps create innovative software applications. Leanna completed her PhD in Clinical-Bioanalytical Chemistry from Cleveland State University, where she developed a protocol for processing hyperspectral image data that distinguishes the spectra, removes degeneracies caused by symmetry, and is generalized to work with any number of wavelength dimensions and spectra.

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