The identification of chemical compounds and their distribution within a sample by use of multivariate methods is a key strategy for the study and development of new materials in industries such as pharmaceuticals, semiconductors, materials science and nanotechnology.
In this webinar, Renata will demonstrate pre-processing, compositional analysis and chemical identification of Raman spectroscopy data collected on a micrometric sample of facemask fibers using the very latest tools available in MountainsSpectral® software.
The webinar is aimed at anyone analyzing spectral data (Raman, IR etc.) for industrial and research projects including current users of MountainsSpectral® software and anyone trying out the software.
What you’ll see in this webinar:
- The unique MountainsSpectral® document layout: automatically create an analysis report as you work, fully customize it and export it to share with others.
- The MountainsSpectral® analysis workflow: keep track of all the analysis steps applied to your data and fine-tune them at any time.
- Saving your chosen analysis routine for re-use using MountainsSpectral® SmartFlows
- New options for displaying spectral curves
- Spectral data pre-processing steps:
- Correcting the baseline
- Normalizing the spectrum curves
- Removing spikes
- Choosing the right spectral analysis technique:
- Band analysis
- Multivariate methods:
- Extract components
- Use reference spectra
- Identification of spectra with Wiley’s KnowItAll spectral library
- Colocalization and display of resulting spectral maps
This webinar is now available on-demand and you can watch it by clicking on the link below.
Duration: 25 minutes approx.
Speaker: Dr Renata Lewandowska, Product Manager Spectral Applications @Digital Surf
