Abstract
Applying chemometrics methods to the analysis of FT-IR microscopy data extends and improves compositional mapping. With an FT-IR microscope, it is possible to record mid-IR spectra from areas as small as 5 X 5 micrometers 2 and to step-scan over large areas in a regular sequence, thereby recording an array of spectra for compositional mapping. Initially, compositional maps were produced by inspecting individual spectra to identify an absorption that changed intensity with its coordinates in the data array. This band intensity would then be plotted against its spatial coordinates to produce a three-dimensional composition map. This form of mapping was generally called 'functional group mapping.' However, these data sets can be analyzed more effectively by using chemometrics principals to derive detailed quantitative maps and 'pure' principal-component spectra. The factor analysis also reduces the data set and improves the signal-to-noise ratio of compositional maps. Factor mapping has been applied to identify and plot the distribution of polymer film contaminates, foreign bodies in tissues, and adhesive bonding layers in polymer laminates. In addition, this combination of FT-IR microscopy and chemometrics has been used to test the uniformity of polymer blends and alloys. These examples are presented to illustrate the general applicability of these technologies and the strength of their union.
Published Version
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