Classification of fungi by means of pyrolysis-gas chromatography pattern recognition
Author
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.
Department/s
Publishing year
1979
Language
English
Pages
19-32
Publication/Series
Journal of Chromatography A
Volume
173
Issue
1
Links
Document type
Journal article
Publisher
Elsevier
Topic
- Biological Sciences
Status
Published
Research group
- Microbial Ecology
ISBN/ISSN/Other
- ISSN: 0021-9673