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Multivariate data evaluation of PCB and dioxin profiles in the general population in Sweden and Spain
Umeå University, Faculty of Science and Technology, Department of Chemistry.
Umeå University, Faculty of Science and Technology, Department of Chemistry.
Umeå University, Faculty of Science and Technology, Department of Chemistry.
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2000 (English)In: Chemosphere, ISSN 0045-6535, E-ISSN 1879-1298, Vol. 40, no 9-11, 1083-1088 p.Article in journal (Refereed) Published
Abstract [en]

Thirty-three polychlorinated biphenyls and 20 dioxin-like congeners were determined by GC–MS in blood and adipose tissue samples from two general population groups, one in Spain (n=35) and one in Sweden (n=28). The results were evaluated by multivariate projection (Simca), after normalisation to the most abundant and stable congener in each data set, in order to reveal differences in the “national” congener profiles. The mean values of each population group did not differ significantly. The sum of PCBs in the Spanish was 1450 ng/g and in the Swedish 1310 ng/g. The sum of the dioxin-like compounds in Spain was 1180 pg/g and in Sweden 804 pg/g. The congener profiles differed between the countries. Mainly the higher chlorinated congeners for both the dioxin-like compounds and the PCBs are more dominant in the Spanish group compared to the Swedish.

Place, publisher, year, edition, pages
2000. Vol. 40, no 9-11, 1083-1088 p.
National Category
Environmental Sciences Chemical Sciences
Identifiers
URN: urn:nbn:se:umu:diva-8951DOI: 10.1016/S0045-6535(99)00356-2OAI: oai:DiVA.org:umu-8951DiVA: diva2:148622
Available from: 2008-02-22 Created: 2008-02-22 Last updated: 2017-12-14Bibliographically approved
In thesis
1. Pollutant profiles as tools for characterisation of environmental exposure
Open this publication in new window or tab >>Pollutant profiles as tools for characterisation of environmental exposure
2004 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

This thesis is concerned with measurements of persistent organic pollutants (POPs) in environmental samples. The POPs consist of several groups of compound with many isomers, hence analysing POPs in a complex environment is a This thesis is concerned with measurements of persistent organic pollutants (POPs) in environmental samples. The POPs consist of several groups of compound with many isomers, hence analysing POPs in a complex environment is a challenging task. Studies of the abundance or dynamics of such substances in the environment require careful consideration of several key steps. The environmental and analytical problems must be correctly defined, suitable analytes, sampling strategies and techniques must be selected, the chemical analyses must be reproducible and accurate, and the data evaluation protocols must be rigorous and appropriate.

The aim of this thesis was to evaluate the use of pollutant profiles in order to assess complex patterns of environmental exposure. When combined with multivariate data analysis (MVDA) a maximum of information may be extracted from analytical data. Nevertheless, good quality data is essential for correct evaluation of the environmental phenomena under investigation. The precision and accuracy of a solid phase assisted liquid extraction method was therefore assessed by comparison to a reference method. The validated method was used in two human exposure studies. The concentrations of PCBs and dioxins were determined in human tissues from general populations in Sweden and Spain. Although it was concluded that the populations were exposed to similar degree to PCBs and dioxins, principal component analysis (PCA) showed that the compound profiles differed between the populations. PCA was also used to differentiate between occupationally exposed workers and matched controls and between exposed workers with recent and earlier exposure. In addition, the analysis indicated that the differences in PCB patterns in workers with recent and earlier exposure were related to differences in the metabolic degradation rates of individual PCBs. The PCA model was further used to select PCB congeners that were representative of each group.

Finally, the emission of polycyclic aromatic hydrocarbons (PAHs) in a traffic tunnel was estimated by measuring 29 individual PAHs. The sampling periods were chosen to reflect a maximum variation in the traffic composition. An excellent prediction of the percentage of heavy-duty vehicles was obtained using partial least squares (PLS) regression. It was shown by PCA that it might be possible to predict source compositions at other locations with the aid of multivariate statistical tools. Thus, properly gathered pollutant profiles and MVDA may be combined to extract a large amount of significant information from environmental source and exposure data.

Publisher
59 p.
Keyword
Environmental chemistry, Multivariate, PCB, PAH, dioxin, PLS, Environment, road tunnel, Miljökemi
National Category
Environmental Sciences
Research subject
Analytical Chemistry
Identifiers
urn:nbn:se:umu:diva-256 (URN)91-7305-650-2 (ISBN)
Public defence
2004-05-27, KB3B1, KBC-huset, Umeå Universitet, 901 87 Umeå, 10:00 (English)
Opponent
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Available from: 2004-05-04 Created: 2004-05-04 Last updated: 2017-01-30Bibliographically approved

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