Application of Curve Fit and Deconvolution to Polymer Analysis
A great wealth of information about a material is found in its infrared spectrum. For many years infrared was used not just for identifying componds but also for obtaining semi-quantitative information about structural units. In more recent years other instrumental techniques, such as NMR, have been developed and have superseded infrared spectroscopy in the quantitative determination of structural information. Now, however, because of the availability of high signal-to-noise infrared spectrometers, and the computers associated with the spectrometers, structural information, which could not be accessed previously, can be extracted from the infrared spectrum. Techniques such as deconvolution and curve fit analysis provided by the computer, allow more structural information to be made visible in the infrared spectrum than was once thought possible. In the deconvolution process broad complex bands can be mathematically narrowed to yield an improvement in the observation of the overlapped component bands. The results obtained are often similar to those obtained from samples analyzed at low temperatures.
KeywordsRandom Copolymer Longe Sequence Isotactic Polypropylene Ethylene Propylene Spectral Space
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