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Classification of polymer batch variations by dynamic headspace/capillary gas chromatography/multivariate data analysis

✍ Scribed by Hagman, A. ;Karlsson, K. ;Jacobsson, S.

Publisher: John Wiley and Sons
Year: 1988
Tongue: English
Weight: 412 KB
Volume: 11
Category: Article
ISSN: 0935-6304
DOI: 10.1002/jhrc.1240110113

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✦ Synopsis

Gas chromatographic profiles have been generated from different batches of a polypropylene/polyethylene copolymer. The profiles generated from polymer pellets have been obtained by dynamic headspace/capillary gas chromatography analysis. Initially 10to40 peakswerechosenat random from thequantitative reports and transferred to a data table. After appropriate scaling the table has been analyzed by a multivariate statistic program, SlMCA (Soft Independent Modeling of Class Analogy) a pattern recognition technique. The method has been used to differentiate batches according to sensory qualities of the final packaging product and changes in polymer pellet production.

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