Classification of fungi by means of pyrolysis-gas chromatography pattern recognition
Författare
Summary, in English
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.
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.
Avdelning/ar
Publiceringsår
1979
Språk
Engelska
Sidor
19-32
Publikation/Tidskrift/Serie
Journal of Chromatography A
Volym
173
Issue
1
Länkar
Dokumenttyp
Artikel i tidskrift
Förlag
Elsevier
Ämne
- Biological Sciences
Status
Published
Forskningsgrupp
- Microbial Ecology
ISBN/ISSN/Övrigt
- ISSN: 0021-9673