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
Duration: 25 minutes approx.
Speaker: Dr Renata Lewandowska, Product Manager Spectral Applications @Digital Surf
