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High Throughput Screening of the Thermal Stability of Colorants in a Polycarbonate Matrix

Published online by Cambridge University Press:  01 February 2011

Donald W. Whisenhunt Jr
Affiliation:
General Electric Global Research, Biosciences, Combichem and Characterization Technology, Combinatorial Chemistry Laboratory, Niskayuna, NY 12309, U.S.A.
Randall Carter
Affiliation:
General Electric Global Research, Biosciences, Combichem and Characterization Technology, Combinatorial Chemistry Laboratory, Niskayuna, NY 12309, U.S.A.
Ron Shaffer
Affiliation:
General Electric Global Research, Biosciences, Combichem and Characterization Technology, Combinatorial Chemistry Laboratory, Niskayuna, NY 12309, U.S.A.
William Bulsiewicz
Affiliation:
General Electric Global Research, Biosciences, Combichem and Characterization Technology, Combinatorial Chemistry Laboratory, Niskayuna, NY 12309, U.S.A.
William Flanagan
Affiliation:
General Electric Global Research, Biosciences, Combichem and Characterization Technology, Combinatorial Chemistry Laboratory, Niskayuna, NY 12309, U.S.A.
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Abstract

The relative thermal stability of 44 colorants of interest to GE Plastics as polymer colorants was determined. The effects of common (non-colorant) additives on the thermal stability in a polymer matrix were also determined. The measurements were carried out by reflectance spectrometry on thin films of polymers that had been subjected to heating cycles. The change in the visible spectrum was used as an indicator of thermal stability. This paper discusses the method and overall results for the experiments.

Type
Research Article
Copyright
Copyright © Materials Research Society 2004

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References

REFERENCES

[1] Color Technology for Plastics, Harris, Ronald M. (Editor), Society of Plastic Engineers Plastics Design Library, Norwich, NY 1999.Google Scholar
[2] Shaffer, Ronald E., Whisenhunt, Donald W. Jr, Carter, Randall L., Six Sigma Data Analysis Strategies for High Throughput Screening of Colorant Thermal Degradation, GE Global Research Technical Report CRD142, September 2001.Google Scholar
[3] Shaffer, Ronald E., May, Ralph J., Whisenhunt, Donald W. Jr., Megavariate Analysis in High Throughput Experimentation Using Principal Components Analysis and the GECRD Chemometrics Toolkit Excel Add-in, GE Global Research Technical Report CRD191, November 2001.Google Scholar