Get the most from your Thermo Scientific™ Nicolet™ FTIR Spectrometer System
Introduction to OMNIC
The arrangement of the various software parts is introduced. This video prepares the student to view the other training videos in the series.
Understanding the ATR Experiment
Advantages and disadvantages of using the ATR sampling approach are discussed.
The Experiment Setup Interface
Overview of the experiment setup parameter window is covered. Navigating and understanding how experiment files are created.
Changing Data Point Spacing
The data point spacing in the spectrum is covered. Using the various approaches is discussed.
Collecting a Spectrum
The steps to produce a simple infrared spectrum of a sample after it has been prepared and inserted into the FTIR are demonstrated.
Adjusting the Number of Scans in a Data Collection
Improving the quality of the spectrum collected with increasing scans, and the time required, are discussed.
Setting the Final Format for a Data Collection
Understanding the various spectral formats available and when they should be used is shown.
Setting the optimum background refresh schedule and the benefits of the various options are shown.
Understanding the Bench Tab
An introduction to the settings available on the Bench Tab in the Experiment setup window is covered.
Setting the Spectral Range
Understanding the correct spectral range for the optics selected is covered.
Working with the Optical Velocity
Setting the speed of the moving mirror in the interferometer and consequences are covered.
Setting the System Aperture
Adjusting the optical aperture in the system for optimal spectral quality is covered.
Mercury GC Software
The Mercury GC software is covered showing the use of the analysis for discovering components collected during a gas chromatographic collection.
Post Processing Spectral Data
Determining which corrections make spectral data better suited for analysis is demonstrated.
Correcting for Atmospheric Contaminants
Using software corrections to remove water vapor and carbon dioxide peaks from the sample spectrum is covered.
Setting up a Spectral Library Search
Setting the criteria to search spectral libraries to identify unknown material is shown.
Advanced Spectral Search Techniques
Applying regional search techniques to help identify unknown material in mixtures is shown.
Creating a Custom Report Template
Creating a custom template that generates reports containing all of the analytical information is shown.
Quantitative Spectral Analysis
An introduction to the use of the Pallet tools to extract quantitative information from spectral data is covered.
Using the Statistical Spectra Function
The application of the Statistical Spectra tool in OMNIC is covered and its use in determining new information is discussed.
Series, Part I
Setting up a Series collection is discussed. The correct time for the run and the interval is important.
Introduction to OMNIC Macros
The Macro Editor is introduced describing the various parts and their use in creating and editing macros.
Advanced Macro Programming (I)
Editing existing macros to expand their usefulness is shown. Advanced programming tools are demonstrated.
Decisions in Macros to Help Direct the Flow
The inclusion of decision statements in the macro code will direct the macro to complete the desired analysis.
Working with the Log File
Using the Log File is covered, showing how to capture analytical information from spectral data for further use in the analysis.
Using Configuration Files
The use of configuration settings to customize the OMNIC software for specific uses is introduced. The overview of the capabilities and interface is shown.
Customizing the OMNIC Menus
Menu modifications are demonstrated, as well as adding and removing commands to simplify the operation and make the software targeted to the analyses being performed.
Customizing the Icon Tool Bar
Adding, removing and rearranging the icon collection displayed on the tool bar is shown. Adding macros and other external programs for access in OMNIC is explained and demonstrated.
Quantitative Analysis - Thermo Scientific™ TQ Analyst™ Software
Introduction to the TQ Analyst Software
A preliminary discussion for using the TQ Analyst software, menus and tabs is gone over in detail.
Choosing the Correct Quantitative Approach
Selecting the type of quantitative algorithm in the TQ Analyst software is explained to allow the best quantitative model to be achieved.
Creating a Simple Beer’s Law Model, Part I
Step by step construction of a simple Beer’s law model is outlined.
Creating a Simple Beer’s Law Model, Part II
The conclusion for creating a simple Beer’s law model from part I.
Create a Classic Least Squares Model, Part II
The continuation of the classic least squares model from part I is discussed.
The SMLR Model
The SMLR modeling approach can be useful in evaluating a quantitative model that has limited data. Models that have small data sets can be created.
Quantitative Diagnostic Tools, Part I
The collection of diagnostic tools to evaluate quantitative models constructed from the TQ Analyst software is described. Evaluating the results to improve the models created is shown.
Qualitative Diagnostic Tools, Part II
A continued demonstration of the use and evaluation of available diagnostic tools.