The arrangement of the various software parts is introduced. This video prepares the student to view the other training videos in the series.
Advantages and disadvantages of using the ATR sampling approach are discussed.
Overview of the experiment setup parameter window is covered. Navigating and understanding how experiment files are created.
The data point spacing in the spectrum is covered. Using the various approaches is discussed.
The steps to produce a simple infrared spectrum of a sample after it has been prepared and inserted into the FTIR are demonstrated.
Improving the quality of the spectrum collected with increasing scans, and the time required, are discussed.
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.
An introduction to the settings available on the Bench Tab in the Experiment setup window is covered.
Understanding the correct spectral range for the optics selected is covered.
Setting the speed of the moving mirror in the interferometer and consequences are covered.
Adjusting the optical aperture in the system for optimal spectral quality is covered.
The Mercury GC software is covered showing the use of the analysis for discovering components collected during a gas chromatographic collection.
Determining which corrections make spectral data better suited for analysis is demonstrated.
Using software corrections to remove water vapor and carbon dioxide peaks from the sample spectrum is covered.
Setting the criteria to search spectral libraries to identify unknown material is shown.
Applying regional search techniques to help identify unknown material in mixtures is shown.
Creating a custom template that generates reports containing all of the analytical information is shown.
An introduction to the use of the Pallet tools to extract quantitative information from spectral data is covered.
The application of the Statistical Spectra tool in OMNIC is covered and its use in determining new information is discussed.
Setting up a Series collection is discussed. The correct time for the run and the interval is important.
The Macro Editor is introduced describing the various parts and their use in creating and editing macros.
Editing existing macros to expand their usefulness is shown. Advanced programming tools are demonstrated.
The inclusion of decision statements in the macro code will direct the macro to complete the desired analysis.
Using the Log File is covered, showing how to capture analytical information from spectral data for further use in the analysis.
The use of configuration settings to customize the OMNIC software for specific uses is introduced. The overview of the capabilities and interface is shown.
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.
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.
A preliminary discussion for using the TQ Analyst software, menus and tabs is gone over in detail.
Selecting the type of quantitative algorithm in the TQ Analyst software is explained to allow the best quantitative model to be achieved.
Step by step construction of a simple Beer’s law model is outlined.
The conclusion for creating a simple Beer’s law model from part I.
The continuation of the classic least squares model from part I is discussed.
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.
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.
A continued demonstration of the use and evaluation of available diagnostic tools.