Abstract
A technique is proposed for the quantitative determination of constituents in complex mixtures characterized by gas chromatography data. The technique is the SIMCA pattern recognition method and the data to which it is applied are gas chromatograms of the Aroclors 1242, 1248, 1252, and 1260. The problem is formulated as one of classification and a sample of used tranformer oil from a waste dump is classified as to its composition.
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Dunn, W.J. III, Stalling, D.L., Schwartz, T.R., Hogan, J.W., Petty, J.D., Johansson, E. and Wold, S. 1983. Classification and quantification of PCB’s in environmental samples using SIMCA pattern recognition. Anal. Chem., submitted.
Schwartz, T.R., Campbell, R.D., Stalling, D.L., Little, R.L., Petty, J.D., Hogan, J.W. and Kaines, E.M. 1983. An isomer specific method for the analysis of PCB’s in environmental samples. Anal. Chem., submitted.
Stalling, D.L., Dunn, W.J. III, Schwartz, T.R., Hogan, J.W., Petty, J.D. and Johansson, E.J. 1983. Application of SIMCA, a principal components method, in isomer specific analysis of PCB’s. ACS Symposium Series, D. Kurtz (Ed.), American Chemical Society, Washington, D.C.
Wold, S. 1976. Pattern recognition by disjoint principal components models. Pattern Recognition 8: 127–134.
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© 1984 D. Reidel Publishing Company
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Dunn, W.J., Stalling, D.L., Wold, S. (1984). The use of Simca Pattern Recognition in the Analysis of Complex Chromatographic Data. In: Kaiser, K.L.E. (eds) QSAR in Environmental Toxicology. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-6415-0_6
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DOI: https://doi.org/10.1007/978-94-009-6415-0_6
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-009-6417-4
Online ISBN: 978-94-009-6415-0
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