Classification of fungi by means of pyrolysis-gas chromatography pattern recognition

G. Blomquist, E. Johansson, Bengt Söderström, S. Wold

Research output: Contribution to journalArticlepeer-review

Abstract

SUMMARY
Repetitive samples of three strains of the moujd Penicillium were subjected to pyrolysis-gas chromatography (Py-GC). From the chromatograms, 26 peak heights were used in a subsequent SIMCA pattern recognition analysis. This data analysis gives a marked improvement in the classification of the samples (100% correct, 85%
unique) in comparison with the traditional analysis based on the average chromatogram of each class (92% correct, 45% unique)_
The data analytical method is described in detail using the Py-GC data as an illustration.
Original languageEnglish
Pages (from-to)19-32
JournalJournal of Chromatography A
Volume173
Issue number1
Publication statusPublished - 1979

Subject classification (UKÄ)

  • Biological Sciences

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