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Application of Curve Fit and Deconvolution to Polymer Analysis

  • Patricia B. Roush
  • Robert W. Hannah
  • John P. Coates
  • Alan Bunn
  • H. A. Willis
Part of the Polymer Science and Technology book series (POLS, volume 36)

Abstract

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 In more recent years other instrumental techniques, such as NMR, have been developed and have superseded infrared spectroscopy in the quantitative determination of structural information.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.

Keywords

Random Copolymer Longe Sequence Isotactic Polypropylene Ethylene Propylene Spectral Space 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Plenum Press, New York 1987

Authors and Affiliations

  • Patricia B. Roush
    • 1
  • Robert W. Hannah
    • 1
  • John P. Coates
    • 1
  • Alan Bunn
    • 2
  • H. A. Willis
    • 3
  1. 1.Perkin-Elmer CorporationRidgefieldUSA
  2. 2.ICI P & P, Ltd. Co.WiltonEngland
  3. 3.Wiley and SonsComputer Enhanced SpectroscopyEngland

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