1984
DOI: 10.1021/ac00272a026
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Pattern recognition for classification and determination of polychlorinated biphenyls in environmental samples

Abstract: A technique Is proposed for the quantitative determination of constituents In complex mixtures characterized by gas chromatography data. The technique Is partial least squares In latent variables (PLS) and the data to which It Is applied are gas chromatograms of the Aroclors 1242, 1248, 1252, and 1260. In addition the problem Is formulated as one of classification and calibration and a sample of used transformer oil from a waste dump Is classified as to Its origin.

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Cited by 101 publications
(43 citation statements)
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“…The application of chemometrics to identify and distinguish chemical``fingerprint'' patterns has been an important tool to describe the similarities and differences among environmental samples. It provides a classification method for ascertaining the identity of samples and determining the most significant chemical constituents or physical attributes among different samples (Dunn et al, 1984;Stalling et al, 1985;Schwartz and Stalling, 1991;Wenning et al, 1993 ).…”
Section: Introductionmentioning
confidence: 99%
“…The application of chemometrics to identify and distinguish chemical``fingerprint'' patterns has been an important tool to describe the similarities and differences among environmental samples. It provides a classification method for ascertaining the identity of samples and determining the most significant chemical constituents or physical attributes among different samples (Dunn et al, 1984;Stalling et al, 1985;Schwartz and Stalling, 1991;Wenning et al, 1993 ).…”
Section: Introductionmentioning
confidence: 99%
“…Quantitation of environmental samples as equivalents of tech-mixtures is altered (6). The correlation between the chromatogram of an Aroclor standard and that of PCB mixtures from an environmental sample is variable (7)(8)(9)(10)(11), and conventional quantitation methods permit considerable subjectivity on the part of the analyst (12)(13)(14). Ad-ditionally, reporting concentration data as total PCBs provides no information about the potential biological significance of the particular mixture of congeners in a sample and may be misleading.…”
mentioning
confidence: 99%
“…Further on, comparison of isomeric pattern is an important analytical tool to differentiate emission sources or technical formulations and was also applied for the environmental monitoring of PCB in surface water systems (e.g. Dunn et al 1984;Schulte and Malisch 1983;Buchert and Ballschmiter 1985). But due to the fact that in accordance with the complex composite of PCDD/F's also PCB's appear as congeneric mixtures with up to 209 individual congeners, the complexicity hinders frequently a successful isomer specific determination.…”
Section: Priority Pollutantsmentioning
confidence: 99%