The Nirvascan Spectro-Photometer and the newly introduced Cloud Service
Registrations are closed
Host: Rez Mani did an M.Eng in Engineering Physics focused on optical properties of semiconductors from McMaster University in Hamilton, Ontario. This was followed by a Ph.D. in Earth and Space Science focused on satellite optical instrumentation from York University in Toronto, Ontario. After working in the industry for 10 years, where he participated in a multitude of optical/laser/spectroscopic projects, he returned to York University as a contract faculty and a research associate in 2011. He has also worked for Allied Scientific Pro as a consultant since 2011 and as an application scientist since 2017.
This webinar will be different from previous Nirvascan webinars. It will demonstrate the different features of the PC software such as recording a new reference, changing scan configurations and making new ones. It will also demonstrate the functionality of the Nirvacloud platform to save, display and model the spectra.
The webinar begins by explaining the fundamental differences between the near IR and mid-IR spectroscopy methods. The fundamental absorption bands exist in the mid-IR region, however overtones which are weaker can be found in the near IR region. Mid-IR instruments such as FTIR are expensive and bulky. Several industries are now turning to near IR spectroscopy for quality control since it is a fast and inexpensive method which uses light-weight portable spectrometers. NIR can be used to find the ingredients of food such as sugar, protein, moisture and fat, find ingredients of drugs, sort plastics for recycling, detect influenza virus in nasal fluid, detect Zika virus in mosquitoes, find polyester content of fabrics, and many other applications. Nirvascan uses the Digital Light Processing (DLP) technology which makes it possible for the instrument to use a single element detector instead of a detector array. Use of chemometrics methods such as Partial Least Square (PLS) to make quantitative predictions is also discussed.
The newly introduced cloud service by Allied Scientific Pro (NirvaCloud), which allows users to upload their spectra and use the PLS model to make quantitative predictions will be demoed.
Once you are registered you will be receiving a Gotomeeting or WebEx link and code to get in the webinar, stay tuned!
If you have any questions feel free to email: email@example.com.