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Proceedings Paper

Application of a knowledge-based system for the automated characterization of copolymers from infrared spectral data
Author(s): J. A. de Koeijer; Hendrik J. Luinge; John H. van der Maas; Paul Tayler; John M. Chalmers
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Paper Abstract

The development of a knowledge-based system for the characterization of aromatic polymers is described. Spectrum-structure correlations are deduced automatically from DRIFT and ATR spectra of homopolymers. Using these correlations spectra of copolymers and blends are interpreted yielding qualitative information on the monomer composition. Band ratio analysis and partial least squares regression are applied to characterize the samples quantitatively.

Paper Details

Date Published: 1 March 1992
PDF: 2 pages
Proc. SPIE 1575, 8th Intl Conf on Fourier Transform Spectroscopy, (1 March 1992); doi: 10.1117/12.56459
Show Author Affiliations
J. A. de Koeijer, Univ. of Utrecht (Netherlands)
Hendrik J. Luinge, Univ. of Utrecht (Netherlands)
John H. van der Maas, Univ. of Utrecht (Netherlands)
Paul Tayler, ICI plc (United Kingdom)
John M. Chalmers, ICI plc (United Kingdom)

Published in SPIE Proceedings Vol. 1575:
8th Intl Conf on Fourier Transform Spectroscopy
Herbert Michael Heise; Ernst Heiner Korte; Heinz W. Siesler, Editor(s)

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