Application of a knowledge-based system for the automated characterization of copolymers from infrared spectral data

J. A. de Koeijer; Hendrik J. Luinge; John H. van der Maas; Paul Tayler; John M. Chalmers

doi:10.1117/12.56459

1 March 1992 Application of a knowledge-based system for the automated characterization of copolymers from infrared spectral data

J. A. de Koeijer, Hendrik J. Luinge, John H. van der Maas, Paul Tayler, John M. Chalmers

Author Affiliations +

Proceedings Volume 1575, 8th Intl Conf on Fourier Transform Spectroscopy; (1992) https://doi.org/10.1117/12.56459
Event: Eighth International Conference on Fourier Transform Spectroscopy, 1991, Lubeck-Travemunde, Germany

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.

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J. A. de Koeijer, Hendrik J. Luinge, John H. van der Maas, Paul Tayler, and John M. Chalmers "Application of a knowledge-based system for the automated characterization of copolymers from infrared spectral data", Proc. SPIE 1575, 8th Intl Conf on Fourier Transform Spectroscopy, (1 March 1992); https://doi.org/10.1117/12.56459

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