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Data-analysis of pyrolysis-chromatograms by means of simca pattern-recognition

Blomquist, G.; Johansson, E.; Söderström, Bengt LU and Wold, S., (1979) In Journal of Analytical and Applied Pyrolysis 1(1). p.53-65
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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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Journal of Analytical and Applied Pyrolysis
volume
1
issue
1
pages
53 - 65
publisher
Elsevier
external identifiers
  • scopus:0344734918
ISSN
1873-250X
DOI
10.1016/0165-2370(79)80005-4
language
English
LU publication?
yes
id
d2b6c92a-d946-4b65-8249-a49655ed23c5 (old id 2226568)
date added to LUP
2011-12-21 16:31:18
date last changed
2017-07-30 03:45:14
@article{d2b6c92a-d946-4b65-8249-a49655ed23c5,
  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.<br/><br>
<br/><br>
The methodology is illustrated using pyrolysis—gas chromatograms of two species of the fungal genus Penicillium.},
  author       = {Blomquist, G. and Johansson, E. and Söderström, Bengt and Wold, S.,},
  issn         = {1873-250X},
  language     = {eng},
  number       = {1},
  pages        = {53--65},
  publisher    = {Elsevier},
  series       = {Journal of Analytical and Applied Pyrolysis},
  title        = {Data-analysis of pyrolysis-chromatograms by means of simca pattern-recognition},
  url          = {http://dx.doi.org/10.1016/0165-2370(79)80005-4},
  volume       = {1},
  year         = {1979},
}