![]() LEARNING OBJECTIVES: In this class students will learn the practical side of FT-IR including instrument effects, environmental effects, how to sample properly and data treatments. It is particularly aimed at those students who are not familiar with all the sampling techniques available and how they impact the quality of the spectrum. Liquids are usually examined as a thin film sandwiched between two. IR Spectroscopy detects frequencies of infrared light that are absorbed by a molecule. An illustration highlighting the different regions that light can be classified into is given below. TARGET AUDIENCE: This course is designed for scientists and engineers running infrared spectra who want to understand what constitute good spectra and how to achieve that using a variety of sampling techniques. Infrared spectra may be obtained from samples in all phases (liquid, solid and gaseous). An IR spectrum is essentially a graph plotted with the infrared light absorbed on the Y-axis against. This year we will also be including a “tricks of the trade” component to the class. Infrared spectroscopy (IR spectroscopy) is the spectroscopy that deals with the infrared region of the electromagnetic spectrum, that is light with a longer. We will also address common problems associated with other accessories. Since the bulk of the samples that are currently analyzed are done by Attenuated Total Reflection we will cover it in detail. Easy to use, powerful, compact and robust Spectrum Two is the FT-IR spectrometer of choice for everyone, everywhere. Here, we use two-dimensional infrared (2D-IR) spectroscopy to demonstrate that zinc carboxylates formed in paint films containing zinc white pigment adopt. Problems can appear from the instrument, the sample accessory and/or presentation. In this course, we will show many of the problems that are commonly encountered with FT-IR spectra measured by inexperienced (and often experienced!) users and show how to avoid them. ![]() COURSE DESCRIPTION: Users of FT-IR spectrometers may have received little or no formal training in spectroscopy and therefore cannot distinguish between “good” and “bad” spectra. ![]()
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