Data-analysis of pyrolysis-chromatograms by means of simca pattern-recognition
(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.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/2226568
- author
- Blomquist, G. ; Johansson, E. ; Söderström, Bengt LU and Wold, S.,
- organization
- publishing date
- 1979
- 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
- 2016-04-01 12:12:29
- date last changed
- 2024-01-08 12:11:25
@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}}, doi = {{10.1016/0165-2370(79)80005-4}}, volume = {{1}}, year = {{1979}}, }