| 1. |
- Blomquist, G., et al.
(författare)
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Classification of fungi by means of pyrolysis-gas chromatography pattern recognition
- 1979
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Ingår i: Journal of Chromatography A. - 0021-9673. ; 173:1, s. 19-32
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Tidskriftsartikel (refereegranskat)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.
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| 2. |
- Blomquist, G., et al.
(författare)
-
Data-analysis of pyrolysis-chromatograms by means of simca pattern-recognition
- 1979
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Ingår i: Journal of Analytical and Applied Pyrolysis. - : Elsevier BV. - 1873-250X .- 0165-2370. ; 1:1, s. 53-65
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Tidskriftsartikel (refereegranskat)abstract
- The variability between repetitive pyrolysis—chromatograms of the same type of samples is not totally random, but can in part be modelled by a principal components (PC) model. This makes it possible to use efficiently repetitive pyrolysis-chromatograms of samples of known types to obtain separate PC models for each type. Samples of unknown origin can then be classified according to which of the PC models their pyrolysis-chromatograms are most similar. The methodology is illustrated using pyrolysis—gas chromatograms of two species of the fungal genus Penicillium.
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| 3. |
- Blomquist, G., et al.
(författare)
-
Reproducibility of pyrolysis-gas chromatographic analyses of the mold Penicillium brevi-compactum
- 1979
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Ingår i: Journal of Chromatography A. - 0021-9673. ; 173:1, s. 7-17
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Tidskriftsartikel (refereegranskat)abstract
- The reproducibility of multivariate measurements is discussed. Reproducibility of a second kind is defined, in which part of the variability between samples is described by a principal components model. The use of this generalized reproducibiity is shown to give an improved precision in the pyrolysis-gas chromatography of a Penicillium species.
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